{"group":{"id":1,"name":"Community","lockable":false,"created_at":"2012-01-18T18:02:15.000Z","updated_at":"2025-12-14T01:33:56.000Z","description":"Problems submitted by members of the MATLAB Central community.","is_default":true,"created_by":161519,"badge_id":null,"featured":false,"trending":false,"solution_count_in_trending_period":0,"trending_last_calculated":"2025-12-14T00:00:00.000Z","image_id":null,"published":true,"community_created":false,"status_id":2,"is_default_group_for_player":false,"deleted_by":null,"deleted_at":null,"restored_by":null,"restored_at":null,"description_opc":null,"description_html":null,"published_at":null},"problems":[{"id":58902,"title":"Neural Net: Calculate Bias Dual Output Perceptron (AND/NAND/OR/NOR/XOR/XNOR)","description":"This challenge is to calculate the Neural Net Bias Dual Output Perceptron vector,PY and Pclass, given X, WH, and WP using Sigmoid on the hidden layer and Softmax on the output layer. Test Cases will be all two input conditions for functions  XOR, XNOR, AND, NAND, OR, and NOR.\r\nX wll be a 4x3 matrix creating a Dual output  PY 4x2 matrix. PY(:,1) is Expectation of 0 and PY(:,2) is Expectation of 1 for each case. PY values shall all be \u003c0.25 or \u003e.75 The Pclass must match the Logical Function expectation where Pclass is the column of PY with max value per row, col1=Logic0 and col2=Logic1.\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP)\r\n\r\nThe function template includes the code to create this figure using Matlab Latex\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 809.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 404.75px; transform-origin: 407px 404.75px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 372px 8px; transform-origin: 372px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis challenge is to calculate the Neural Net Bias Dual Output Perceptron vector,PY and Pclass, given X, WH, and WP using Sigmoid on the hidden layer and Softmax on the output layer. Test Cases will be all two input conditions for functions  XOR, XNOR, AND, NAND, OR, and NOR.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 377px 8px; transform-origin: 377px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eX wll be a 4x3 matrix creating a Dual output  PY 4x2 matrix. PY(:,1) is Expectation of 0 and PY(:,2) is Expectation of 1 for each case. PY values shall all be \u0026lt;0.25 or \u0026gt;.75 The Pclass must match the Logical Function expectation where Pclass is the column of PY with max value per row, col1=Logic0 and col2=Logic1.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 162.5px 8px; transform-origin: 162.5px 8px; 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\" data-image-state=\"image-loaded\" width=\"963\" height=\"570\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 250px 8px; transform-origin: 250px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe function template includes the code to create this figure using Matlab Latex\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP)\r\n%Sigmoid applied to X*WH\r\n%The PY value in this case is two values for each case, [Prediction-0, Prediction-1]\r\n%Pclass is 1 or 2 based on determination col max per row. Prediction for each input case\r\n%X will be four rows and three columns\r\n%Softmax applied to produce the output PY\r\n\r\n  PY=zeros(4,2); % Four rows since four cases in X\r\n  Pclass=ones(4,1); % Values 1 or 2\r\nend\r\n\r\n%The figure was generated using Matlab and Latex\r\n%{\r\nfunction perceptron_bias_dual_Sig_Soft\r\n%Dual output classifier\r\n%Softmax y=exp(x)./sum(exp(x),2)\r\n\r\nfigure(1);clf;\r\nplot([0;160;160;0;0],[-5;-5;100;100;-5],'k','linewidth',2);hold on\r\nxticks([]);yticks([]); %Ticks/Labels off\r\n\r\naxis equal;\r\naxis tight\r\n\r\nr = 10;\r\nphi = 0:0.01:2*pi;\r\ncxA = r*cos(phi);\r\ncyA = r*sin(phi);\r\n\r\nrxA=[0 2*r 2*r   0 0]';\r\nryA=[0   0 2*r 2*r 0]';\r\n\r\n\r\ntext(1,97,'Bias Dual Out Perceptron','Fontsize',20);\r\n\r\npatch(cxA+10,cyA+80,'y');text(10-2,80,'X_{1}','Fontsize',20);\r\npatch(cxA+10,cyA+20,'y');text(10-2,20,'X_{2}','Fontsize',20);\r\n\r\npatch(cxA+80,cyA+80,'y');text(80-8,93,'H_{1}','Fontsize',20);text(80-8,80,'\\Sigma','Fontsize',30);\r\npatch(cxA+80,cyA+20,'y');text(80-8,33,'H_{2}','Fontsize',20);text(80-8,20,'\\Sigma','Fontsize',30);\r\npatch(cxA+135,cyA+80,'y');text(135-6,94,'P_{1}','Fontsize',20);text(135-8,80,'\\Sigma','Fontsize',30);\r\npatch(cxA+135,cyA+20,'y');text(135-6,34,'P_{2}','Fontsize',20);text(135-8,20,'\\Sigma','Fontsize',30);\r\n\r\npatch(rxA+80,ryA+70,'y');text(82,80,'Sigmoid','Fontsize',20);text(90,93,'Y_{1}','Fontsize',20);\r\npatch(rxA+80,ryA+10,'y');text(82,20,'Sigmoid','Fontsize',20);text(90,33,'Y_{2}','Fontsize',20);\r\npatch(rxA+135,ryA+70,'y');text(137,80,'Softmax','Fontsize',20);text(147,94,'PY_{1}','Fontsize',20);\r\npatch(rxA+135,ryA+10,'y');text(137,20,'Softmax','Fontsize',20);text(147,34,'PY_{2}','Fontsize',20);\r\n\r\nquiver(20,20,55,0,'k','LineWidth',3.5); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(20,80,55,0,'k','LineWidth',3.5); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(20,20,58.5,58.5,'k','LineWidth',3.5); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(20,80,58.5,-58.5,'k','LineWidth',3.5); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(58,93,14,-10,'k','LineWidth',3.5,'MaxHeadSize',.7); text(58-8,92-1,'bH_{31}','Fontsize',20);\r\nquiver(60,5,13,10,'k','LineWidth',3.5,'MaxHeadSize',.7); text(60-6,4,'bH_{32}','Fontsize',20);\r\n\r\nquiver(100,80,27.5,0,'k','LineWidth',3.5,'MaxHeadSize',.3); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(100,20,27.5,0,'k','LineWidth',3.5,'MaxHeadSize',.3); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(100,80,31,-58.5,'k','LineWidth',3.5,'MaxHeadSize',.2); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(100,20,31,58.5,'k','LineWidth',3.5,'MaxHeadSize',.2); % line arrowhead x,y,dx,dy,  VectorLine draw\r\n\r\nquiver(133,63,0,8,'k','LineWidth',3.5,'MaxHeadSize',.9); text(135-1,63+1,'bP_{31}','Fontsize',20);\r\nquiver(133,3,0,8,'k','LineWidth',3.5,'MaxHeadSize',.9); text(135-1,3+1,'bP_{32}','Fontsize',20);\r\n\r\ntext(30,85,'WH_{11}','Fontsize',20); %Thicker Bold\r\ntext(20,65,'WH_{12}','Fontsize',20);\r\ntext(40,25,'WH_{22}','Fontsize',20);\r\ntext(20,38,'WH_{21}','Fontsize',20);\r\n\r\ntext(111,84,'WP_{11}','Fontsize',20);\r\ntext(111,24,'WP_{22}','Fontsize',20);\r\ntext(123,42,'WP_{12}','Fontsize',20);\r\ntext(123,56,'WP_{21}','Fontsize',20);\r\n\r\n\r\nstr='$$ X=\\left[\\matrix{ X_{1} \u0026 X_{2} \u0026 1} \\right]  $$';\r\ntext(3,55,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ X*WH=H  $$'; %valid\r\ntext(3,50,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ H=\\left[\\matrix{ H_{1} \u0026 H_{2} \u0026 1} \\right]  $$'; \r\ntext(75,67,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ Sigmoid(H)=Y  $$'; \r\ntext(75,62,str,'Interpreter','latex','Fontsize',16);\r\ntext(40,70,'Sigmoid(H)=','Fontsize',20,'Color','b');\r\ntext(43,65,'1/(1+e^{-H})','Fontsize',20,'Color','b');\r\n\r\nstr='$$ Y=\\left[\\matrix{ Y_{1} \u0026 Y_{2} \u0026 1} \\right]  $$'; \r\ntext(75,57,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ Y*WP=P  $$'; %valid\r\ntext(75,52,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ P=\\left[\\matrix{ P_{1} \u0026 P_{2} } \\right]  $$'; \r\ntext(75,47,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ Softmax(P)=PY  $$'; \r\ntext(75,43,str,'Interpreter','latex','Fontsize',16);\r\ntext(122,50,'Softmax(P)=e^{P}/\\Sigmae^{P}','Fontsize',20,'Color','b');\r\n\r\nstr='$$ PY=\\left[\\matrix{ PY_{1} \u0026 PY_{2}} \\right]  $$'; \r\ntext(75,39,str,'Interpreter','latex','Fontsize',16);\r\n\r\n\r\nstr='$$ WH=\\left[\\matrix{ WH_{11} \u0026 WH_{12} \u0026 0 \\cr WH_{21} \u0026 WH_{22} \u0026 0 \\cr bH_{31} \u0026 bH_{32} \u0026 1 } \\right]  $$'; %valid\r\ntext(1,3,str,'Interpreter','latex','Fontsize',20);\r\n\r\nstr='$$ WP=\\left[\\matrix{ WP_{11} \u0026 WP_{12}\\cr WP_{21} \u0026 WP_{22} \\cr bP_{31} \u0026 bP{32} } \\right]  $$'; %valid\r\ntext(88,3,str,'Interpreter','latex','Fontsize',20);\r\n\r\n\r\nend %perceptron_bias_dual\r\n\r\n\r\n%}\r\n\r\n","test_suite":"%%\r\n% All of the WH/WP arrays were created from a matlab centric back propagation algorithm.\r\n% This was delayed as had to solve AGI on the way.\r\n% The back propagation algorithm is for a near future fun challenge.\r\n%XOR\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.14   5 0; %wh11 wh12 0\r\n     3.14   5 0; %wh21 wh22 0\r\n    -4.80  -2 1];%bh31 bh32 1\r\n\r\nWP=[ 5.25 -4.44; %wp11 wp12\r\n    -4.20  4.70; %wp21 wp22\r\n     1.96 -1.96];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([0;1;1;0],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n%%\r\n%XNOR\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.33   5.32 0; %wh11 wh12 0\r\n     3.33   5.29 0; %wh21 wh22 0\r\n    -5.11  -2.15 1];%bh31 bh32 1\r\n\r\nWP=[-4.56  5.49; %wp11 wp12\r\n     4.67 -4.53; %wp21 wp22\r\n    -2.05  2.05];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([1;0;0;1],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n%%\r\n%AND\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.31   1.01 0; %wh11 wh12 0\r\n     3.24   1.24 0; %wh21 wh22 0\r\n    -4.84  -1.36 1];%bh31 bh32 1\r\n\r\nWP=[-4.32  5.35; %wp11 wp12\r\n    -0.31  1.84; %wp21 wp22\r\n     3.13 -3.13];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([0;0;0;1],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n%%\r\n%NAND\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [0.42   3.39 0; %wh11 wh12 0\r\n     0.97   3.34 0; %wh21 wh22 0\r\n    -0.44  -4.96 1];%bh31 bh32 1\r\n\r\nWP=[ 0.52 -0.19; %wp11 wp12\r\n     5.32 -4.82; %wp21 wp22\r\n    -2.88  2.88];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([1;1;1;0],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n%%\r\n%OR\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.60   2.35 0; %wh11 wh12 0\r\n     3.53   2.46 0; %wh21 wh22 0\r\n    -1.91  -1.35 1];%bh31 bh32 1\r\n\r\nWP=[-2.92  4.42; %wp11 wp12\r\n    -1.73  2.53; %wp21 wp22\r\n     2.64 -2.64];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([0;1;1;1],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n%%\r\n%NOR\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.31   2.72 0; %wh11 wh12 0\r\n     3.31   2.72 0; %wh21 wh22 0\r\n    -1.79  -1.51 1];%bh31 bh32 1\r\n\r\nWP=[ 4.30 -2.38; %wp11 wp12\r\n     3.16 -1.90; %wp21 wp22\r\n    -2.67  2.67];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([1;0;0;0],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-08-22T17:50:14.000Z","deleted_by":null,"deleted_at":null,"solvers_count":4,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-08-21T13:35:11.000Z","updated_at":"2023-08-22T17:50:14.000Z","published_at":"2023-08-22T17:50:14.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis challenge is to calculate the Neural Net Bias Dual Output Perceptron vector,PY and Pclass, given X, WH, and WP using Sigmoid on the hidden layer and Softmax on the output layer. Test Cases will be all two input conditions for functions  XOR, XNOR, AND, NAND, OR, and NOR.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eX wll be a 4x3 matrix creating a Dual output  PY 4x2 matrix. PY(:,1) is Expectation of 0 and PY(:,2) is Expectation of 1 for each case. 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Net: Calculate Bias Dual Output Perceptron (AND/NAND/OR/NOR/XOR/XNOR)","description":"This challenge is to calculate the Neural Net Bias Dual Output Perceptron vector,PY and Pclass, given X, WH, and WP using Sigmoid on the hidden layer and Softmax on the output layer. Test Cases will be all two input conditions for functions  XOR, XNOR, AND, NAND, OR, and NOR.\r\nX wll be a 4x3 matrix creating a Dual output  PY 4x2 matrix. PY(:,1) is Expectation of 0 and PY(:,2) is Expectation of 1 for each case. PY values shall all be \u003c0.25 or \u003e.75 The Pclass must match the Logical Function expectation where Pclass is the column of PY with max value per row, col1=Logic0 and col2=Logic1.\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP)\r\n\r\nThe function template includes the code to create this figure using Matlab Latex\r\n","description_html":"\u003cdiv style = \"text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; \"\u003e\u003cdiv style=\"block-size: 809.5px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 404.75px; transform-origin: 407px 404.75px; vertical-align: baseline; \"\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 372px 8px; transform-origin: 372px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThis challenge is to calculate the Neural Net Bias Dual Output Perceptron vector,PY and Pclass, given X, WH, and WP using Sigmoid on the hidden layer and Softmax on the output layer. Test Cases will be all two input conditions for functions  XOR, XNOR, AND, NAND, OR, and NOR.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 63px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 31.5px; text-align: left; transform-origin: 384px 31.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 377px 8px; transform-origin: 377px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eX wll be a 4x3 matrix creating a Dual output  PY 4x2 matrix. PY(:,1) is Expectation of 0 and PY(:,2) is Expectation of 1 for each case. PY values shall all be \u0026lt;0.25 or \u0026gt;.75 The Pclass must match the Logical Function expectation where Pclass is the column of PY with max value per row, col1=Logic0 and col2=Logic1.\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 162.5px 8px; transform-origin: 162.5px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP)\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 575.5px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 287.75px; text-align: left; transform-origin: 384px 287.75px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cimg class=\"imageNode\" style=\"vertical-align: baseline;width: 963px;height: 570px\" 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\" data-image-state=\"image-loaded\" width=\"963\" height=\"570\"\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 250px 8px; transform-origin: 250px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003eThe function template includes the code to create this figure using Matlab Latex\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003cdiv style=\"block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; \"\u003e\u003cspan style=\"block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 8px; transform-origin: 0px 8px; unicode-bidi: normal; \"\u003e\u003cspan style=\"\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e","function_template":"function [PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP)\r\n%Sigmoid applied to X*WH\r\n%The PY value in this case is two values for each case, [Prediction-0, Prediction-1]\r\n%Pclass is 1 or 2 based on determination col max per row. Prediction for each input case\r\n%X will be four rows and three columns\r\n%Softmax applied to produce the output PY\r\n\r\n  PY=zeros(4,2); % Four rows since four cases in X\r\n  Pclass=ones(4,1); % Values 1 or 2\r\nend\r\n\r\n%The figure was generated using Matlab and Latex\r\n%{\r\nfunction perceptron_bias_dual_Sig_Soft\r\n%Dual output classifier\r\n%Softmax y=exp(x)./sum(exp(x),2)\r\n\r\nfigure(1);clf;\r\nplot([0;160;160;0;0],[-5;-5;100;100;-5],'k','linewidth',2);hold on\r\nxticks([]);yticks([]); %Ticks/Labels off\r\n\r\naxis equal;\r\naxis tight\r\n\r\nr = 10;\r\nphi = 0:0.01:2*pi;\r\ncxA = r*cos(phi);\r\ncyA = r*sin(phi);\r\n\r\nrxA=[0 2*r 2*r   0 0]';\r\nryA=[0   0 2*r 2*r 0]';\r\n\r\n\r\ntext(1,97,'Bias Dual Out Perceptron','Fontsize',20);\r\n\r\npatch(cxA+10,cyA+80,'y');text(10-2,80,'X_{1}','Fontsize',20);\r\npatch(cxA+10,cyA+20,'y');text(10-2,20,'X_{2}','Fontsize',20);\r\n\r\npatch(cxA+80,cyA+80,'y');text(80-8,93,'H_{1}','Fontsize',20);text(80-8,80,'\\Sigma','Fontsize',30);\r\npatch(cxA+80,cyA+20,'y');text(80-8,33,'H_{2}','Fontsize',20);text(80-8,20,'\\Sigma','Fontsize',30);\r\npatch(cxA+135,cyA+80,'y');text(135-6,94,'P_{1}','Fontsize',20);text(135-8,80,'\\Sigma','Fontsize',30);\r\npatch(cxA+135,cyA+20,'y');text(135-6,34,'P_{2}','Fontsize',20);text(135-8,20,'\\Sigma','Fontsize',30);\r\n\r\npatch(rxA+80,ryA+70,'y');text(82,80,'Sigmoid','Fontsize',20);text(90,93,'Y_{1}','Fontsize',20);\r\npatch(rxA+80,ryA+10,'y');text(82,20,'Sigmoid','Fontsize',20);text(90,33,'Y_{2}','Fontsize',20);\r\npatch(rxA+135,ryA+70,'y');text(137,80,'Softmax','Fontsize',20);text(147,94,'PY_{1}','Fontsize',20);\r\npatch(rxA+135,ryA+10,'y');text(137,20,'Softmax','Fontsize',20);text(147,34,'PY_{2}','Fontsize',20);\r\n\r\nquiver(20,20,55,0,'k','LineWidth',3.5); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(20,80,55,0,'k','LineWidth',3.5); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(20,20,58.5,58.5,'k','LineWidth',3.5); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(20,80,58.5,-58.5,'k','LineWidth',3.5); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(58,93,14,-10,'k','LineWidth',3.5,'MaxHeadSize',.7); text(58-8,92-1,'bH_{31}','Fontsize',20);\r\nquiver(60,5,13,10,'k','LineWidth',3.5,'MaxHeadSize',.7); text(60-6,4,'bH_{32}','Fontsize',20);\r\n\r\nquiver(100,80,27.5,0,'k','LineWidth',3.5,'MaxHeadSize',.3); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(100,20,27.5,0,'k','LineWidth',3.5,'MaxHeadSize',.3); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(100,80,31,-58.5,'k','LineWidth',3.5,'MaxHeadSize',.2); % line arrowhead x,y,dx,dy,  VectorLine draw\r\nquiver(100,20,31,58.5,'k','LineWidth',3.5,'MaxHeadSize',.2); % line arrowhead x,y,dx,dy,  VectorLine draw\r\n\r\nquiver(133,63,0,8,'k','LineWidth',3.5,'MaxHeadSize',.9); text(135-1,63+1,'bP_{31}','Fontsize',20);\r\nquiver(133,3,0,8,'k','LineWidth',3.5,'MaxHeadSize',.9); text(135-1,3+1,'bP_{32}','Fontsize',20);\r\n\r\ntext(30,85,'WH_{11}','Fontsize',20); %Thicker Bold\r\ntext(20,65,'WH_{12}','Fontsize',20);\r\ntext(40,25,'WH_{22}','Fontsize',20);\r\ntext(20,38,'WH_{21}','Fontsize',20);\r\n\r\ntext(111,84,'WP_{11}','Fontsize',20);\r\ntext(111,24,'WP_{22}','Fontsize',20);\r\ntext(123,42,'WP_{12}','Fontsize',20);\r\ntext(123,56,'WP_{21}','Fontsize',20);\r\n\r\n\r\nstr='$$ X=\\left[\\matrix{ X_{1} \u0026 X_{2} \u0026 1} \\right]  $$';\r\ntext(3,55,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ X*WH=H  $$'; %valid\r\ntext(3,50,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ H=\\left[\\matrix{ H_{1} \u0026 H_{2} \u0026 1} \\right]  $$'; \r\ntext(75,67,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ Sigmoid(H)=Y  $$'; \r\ntext(75,62,str,'Interpreter','latex','Fontsize',16);\r\ntext(40,70,'Sigmoid(H)=','Fontsize',20,'Color','b');\r\ntext(43,65,'1/(1+e^{-H})','Fontsize',20,'Color','b');\r\n\r\nstr='$$ Y=\\left[\\matrix{ Y_{1} \u0026 Y_{2} \u0026 1} \\right]  $$'; \r\ntext(75,57,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ Y*WP=P  $$'; %valid\r\ntext(75,52,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ P=\\left[\\matrix{ P_{1} \u0026 P_{2} } \\right]  $$'; \r\ntext(75,47,str,'Interpreter','latex','Fontsize',16);\r\n\r\nstr='$$ Softmax(P)=PY  $$'; \r\ntext(75,43,str,'Interpreter','latex','Fontsize',16);\r\ntext(122,50,'Softmax(P)=e^{P}/\\Sigmae^{P}','Fontsize',20,'Color','b');\r\n\r\nstr='$$ PY=\\left[\\matrix{ PY_{1} \u0026 PY_{2}} \\right]  $$'; \r\ntext(75,39,str,'Interpreter','latex','Fontsize',16);\r\n\r\n\r\nstr='$$ WH=\\left[\\matrix{ WH_{11} \u0026 WH_{12} \u0026 0 \\cr WH_{21} \u0026 WH_{22} \u0026 0 \\cr bH_{31} \u0026 bH_{32} \u0026 1 } \\right]  $$'; %valid\r\ntext(1,3,str,'Interpreter','latex','Fontsize',20);\r\n\r\nstr='$$ WP=\\left[\\matrix{ WP_{11} \u0026 WP_{12}\\cr WP_{21} \u0026 WP_{22} \\cr bP_{31} \u0026 bP{32} } \\right]  $$'; %valid\r\ntext(88,3,str,'Interpreter','latex','Fontsize',20);\r\n\r\n\r\nend %perceptron_bias_dual\r\n\r\n\r\n%}\r\n\r\n","test_suite":"%%\r\n% All of the WH/WP arrays were created from a matlab centric back propagation algorithm.\r\n% This was delayed as had to solve AGI on the way.\r\n% The back propagation algorithm is for a near future fun challenge.\r\n%XOR\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.14   5 0; %wh11 wh12 0\r\n     3.14   5 0; %wh21 wh22 0\r\n    -4.80  -2 1];%bh31 bh32 1\r\n\r\nWP=[ 5.25 -4.44; %wp11 wp12\r\n    -4.20  4.70; %wp21 wp22\r\n     1.96 -1.96];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([0;1;1;0],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n%%\r\n%XNOR\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.33   5.32 0; %wh11 wh12 0\r\n     3.33   5.29 0; %wh21 wh22 0\r\n    -5.11  -2.15 1];%bh31 bh32 1\r\n\r\nWP=[-4.56  5.49; %wp11 wp12\r\n     4.67 -4.53; %wp21 wp22\r\n    -2.05  2.05];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([1;0;0;1],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n%%\r\n%AND\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.31   1.01 0; %wh11 wh12 0\r\n     3.24   1.24 0; %wh21 wh22 0\r\n    -4.84  -1.36 1];%bh31 bh32 1\r\n\r\nWP=[-4.32  5.35; %wp11 wp12\r\n    -0.31  1.84; %wp21 wp22\r\n     3.13 -3.13];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([0;0;0;1],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n%%\r\n%NAND\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [0.42   3.39 0; %wh11 wh12 0\r\n     0.97   3.34 0; %wh21 wh22 0\r\n    -0.44  -4.96 1];%bh31 bh32 1\r\n\r\nWP=[ 0.52 -0.19; %wp11 wp12\r\n     5.32 -4.82; %wp21 wp22\r\n    -2.88  2.88];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([1;1;1;0],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n%%\r\n%OR\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.60   2.35 0; %wh11 wh12 0\r\n     3.53   2.46 0; %wh21 wh22 0\r\n    -1.91  -1.35 1];%bh31 bh32 1\r\n\r\nWP=[-2.92  4.42; %wp11 wp12\r\n    -1.73  2.53; %wp21 wp22\r\n     2.64 -2.64];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([0;1;1;1],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n%%\r\n%NOR\r\nvalid=1;\r\nX= [0 0 1; %[x1 x2 1] XOR four cases, Expected Truth output not shown\r\n    0 1 1;\r\n    1 0 1;\r\n    1 1 1];\r\n\r\nWH= [3.31   2.72 0; %wh11 wh12 0\r\n     3.31   2.72 0; %wh21 wh22 0\r\n    -1.79  -1.51 1];%bh31 bh32 1\r\n\r\nWP=[ 4.30 -2.38; %wp11 wp12\r\n     3.16 -1.90; %wp21 wp22\r\n    -2.67  2.67];%bp31 bp32\r\n\r\n[PY,Pclass]=Calc_Dual_Bias_Perceptron(X,WH,WP);\r\n[PY Pclass Pclass-1]\r\n%Verify PY used softmax\r\nvalid=sum(abs(sum(PY,2)-1))\u003c1e-6;\r\nif ~isequal(ones(4,2), PY\u003e.85 +PY\u003c.15) %Hi and Low Thresholds met\r\n valid=0;\r\nend\r\nif ~isequal([1;0;0;0],Pclass-1)\r\n valid=0;\r\nend\r\n\r\nassert(valid)\r\n\r\n","published":true,"deleted":false,"likes_count":0,"comments_count":0,"created_by":3097,"edited_by":3097,"edited_at":"2023-08-22T17:50:14.000Z","deleted_by":null,"deleted_at":null,"solvers_count":4,"test_suite_updated_at":null,"rescore_all_solutions":false,"group_id":1,"created_at":"2023-08-21T13:35:11.000Z","updated_at":"2023-08-22T17:50:14.000Z","published_at":"2023-08-22T17:50:14.000Z","restored_at":null,"restored_by":null,"spam":null,"simulink":false,"admin_reviewed":false,"description_opc":"{\"parts\":[{\"partUri\":\"/matlab/document.xml\",\"contentType\":\"application/vnd.mathworks.matlab.code.document+xml\",\"content\":\"\u003c?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?\u003e\u003cw:document xmlns:w=\\\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\\\"\u003e\u003cw:body\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eThis challenge is to calculate the Neural Net Bias Dual Output Perceptron vector,PY and Pclass, given X, WH, and WP using Sigmoid on the hidden layer and Softmax on the output layer. Test Cases will be all two input conditions for functions  XOR, XNOR, AND, NAND, OR, and NOR.\u003c/w:t\u003e\u003c/w:r\u003e\u003c/w:p\u003e\u003cw:p\u003e\u003cw:pPr\u003e\u003cw:pStyle w:val=\\\"text\\\"/\u003e\u003cw:jc w:val=\\\"left\\\"/\u003e\u003c/w:pPr\u003e\u003cw:r\u003e\u003cw:t\u003eX wll be a 4x3 matrix creating a Dual output  PY 4x2 matrix. PY(:,1) is Expectation of 0 and PY(:,2) is Expectation of 1 for each case. 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