Mary Abdu

2018 年からアクティブ

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in using partisl least square method to reduce the dimention of the input matrix how to know the inputs that matlab has selected as the important variables, how to select the number of components?
y=outputs; x=inputs; [xl,yl,xs,ys,beta,pctvar]=plsregress(x,y,numberofcomponents)

6年弱前 | 0 件の回答 | 0

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what is wrong with the following code, i get the following massege :Subscripted assignment dimension mismatch. Error in Untitled3 (line 14) y2(i)=purelin(y22);
w1=Nx52, b1=Nx1, b2=2x1, w2=2x3 thank you mister madhan, it is look like working with my code (below is the full code) but now ...

6年弱前 | 0

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what is wrong with the following code, i get the following massege :Subscripted assignment dimension mismatch. Error in Untitled3 (line 14) y2(i)=purelin(y22);
w=w*1; load('inputs.mat'); load('outputs.mat'); in=inputs; % loads inputs into variable 'in' t=outputs; ...

6年弱前 | 0

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what is wrong with the following code, i get the following massege :Subscripted assignment dimension mismatch. Error in Untitled3 (line 14) y2(i)=purelin(y22);
thank you; i have already corrected by the foloowing: L=length(a) for i=1:L x=b(:,i); y1=w1*x+b1; y1=tansig(y1)...

6年弱前 | 0

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what is wrong with the following code, i get the following massege :Subscripted assignment dimension mismatch. Error in Untitled3 (line 14) y2(i)=purelin(y22);
clc; clear all; a=[1 2 3; 20 21 22] b=[1 2 3; 4 5 6; 7 8 9] w1=[4 1 5;2 5 0;6 7 10] w2=[10 11 12; 30 1 0] b1=[0.4; 0.2; 0....

6年弱前 | 6 件の回答 | 0

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質問

how i can find neural network second output in term of weight and bias, i am using the below code to find the first output
y1=w1*x+b1; y1=tansig(y1); y22=w2*y1+b2; y2=purelin(y22);

6年弱前 | 0 件の回答 | 0

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how to rewrite this for feedforward neural network for with 52 inputs and 2 output that predict emission rate not for digits, where i get an error of In an assignment A(:) = B, the number of elements in A and B must be the same. Error in line36
sweep=[3,5:5:50]; %parameter values to test scores=zeros(length(sweep),1); %pre-allcation models=cell(length(sweep),1); %pre-a...

6年弱前 | 2 件の回答 | 0

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the following code is to get neural network output in term of weights and biases for one single output how i can rewirte the code for neural network with 2 outputs
i tried with the below code but stil not work could anyone help me please: [r,c]=size(outputs); for i=1:r for j=1:c ...

6年弱前 | 0

質問

the following code is to get neural network output in term of weights and biases for one single output how i can rewirte the code for neural network with 2 outputs
L=length(outputs); for i=1:L x=inputs(:,i); y1=w1*x+b1; y1=tansig(y1); y22=w2*y1+b2; y2(i)=purelin(y22...

6年弱前 | 1 件の回答 | 0

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could any one help me with understanding this code please where w and b are matrices
N=3; w1=[w(1:N);w(N+1:2*N)]'; b1=w(2*N+1:3*N)'; w2=w(3*N:4*N+1); b2=w(end);

6年弱前 | 0 件の回答 | 0

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