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Question on "newlind" from Neural Network Toolbox
Use the type command: type newlind Hope this helps *Thank you for formally accepting my answer* Greg

12年弱前 | 1

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How to take training data from different indexes in a matrix in nprtool ?
net.divideParam.trainInd = [1:272, 546:1372]; Hope this helps *Thank you for formally accepting my answer* Greg

12年弱前 | 0

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How can I predict new values in NARnet after it has been trained?
inPutss = xlsread('Datos','Hoja2'); targetSeries = tonndata(inPutss,false,false); feedbackDelays = 1:2; hiddenLayerSize =...

12年弱前 | 0

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Lag in output from NarNetwork (narnet)
The net was trained with 6 delays. Why don't you expect it to show in the plots? Hope this helps. *Thank you for formally ...

12年弱前 | 1

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How to get basic predictions out of a neural network?
[ Ys Xf Af ] = net(Xs,Xi,Ai); Ypred = net(cell(1,M),Xf,Af); Hope this helps. *Thank you for formally accepting my answ...

12年弱前 | 0

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How to forecast y(t+N) using removedelay function for NARX model
There seems to be a misconception: An openloop feedback design is not deployable because it depends on target feedback. T...

12年弱前 | 2

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What does "Vectors must be the same lengths." mean?
Use the command whos to check the dimensions of all the variables. Your error flag indicates that size(t) and size( ...

12年弱前 | 0

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Best Validation check number for MATLAB neural network
That is not necessarily a problem. What error rates are you getting as you vary the number, H, of hidden nodes and sets of ra...

12年弱前 | 0

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is my code correct for a multi-input Time Delay Neural Network?
1. I find it hard to believe that you need 20 inputs to predict one output. 2. You can find a much simpler basic code using ...

12年弱前 | 1

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How can I get access to network's weights in 'adapt' function after each presentation of an input
getwb(net) But how does this help?

12年弱前 | 0

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Neural Network Regression Score
You say you get a great MSE value however R^2 = 1-MSE/MSE00 = 0.77 where MSE00 = mean(var(target',1)) Therefore, y...

12年弱前 | 1

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Finding best neural network structure using optimization algorithms and cross-validation
The outline I gave was NOT the standard k-fold cross-validation where, for each H candidate, the data is divided into k indivisi...

12年弱前 | 3

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Finding best neural network structure using optimization algorithms and cross-validation
To help understanding, I will assume Nval = Ntst = 0. Search for the nonzero examples in the NEWSGROUP and ANSWERS. To design...

12年弱前 | 3

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how can I access the weight??? and bias??
If you you normalize your inputs and targets using maxmin or mapstd, the function for the normalized variables is yn = B2 +...

12年弱前 | 1

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how do i collect data for neural networks
help nndata Greg

12年弱前 | 0

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how do i construct neural network
What you are asking doesn't make much sense. For a standard universal approximation I-H-O net the number of weights are Nw ...

12年弱前 | 0

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How to decide the range for weights and bias based on input data set ?
You can but you do not have to. By default, variables are normalized to [-1,1] and the initial weights are automatically determi...

12年弱前 | 2

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how can I access the weight??? and bias??
clear all, clc [x,t] = simplefit_dataset; net = fitnet; rng(0) net = train(net,x,t); IW = net.IW{1,1} b1 ...

12年弱前 | 1

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Ensembling of neural networks
What is optimal load shedding? Why do you think you need it? Why do you think you need an ensemble? size(input) = [ ? ...

12年弱前 | 1

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why my regression plot is inverse
Oh! You you have a classifier with {0,1} targets! You are probably using the wrong function. Use patternnet (not fitnet or fe...

12年弱前 | 1

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After training my Neural Network, how do I use it?
The first thing you need to do is determine the significant lags of the autocorrelation function obtained from the training frac...

12年弱前 | 1

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How to use narxnet for new set of data?
1. The best way to solve a problem is to use the MATLAB example data with which we are familiar help nndata 2. It doesn't ...

12年弱前 | 2

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why my regression plot is inverse
Default solutions depend on random trn/val/tst data divisions, random weight initializations and the choice of the number of hid...

12年弱前 | 1

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How can I get all possible solutions for an equation?
Some or all of the solutions can probably be obtained via recursion. Given a, b=1/a and x(1), try x(n+1) = arcsin(a*x(n))...

12年弱前 | 1

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how do i generate samples of two input xor gate for neural networks
You mean 32 examples (a single sample is a set of multiple examples). There are only 4 possible inputs. They are obvious. ...

12年弱前 | 1

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How to use narxnet for new set of data?
1. Test netc with the original data. If performance is lousy, train it starting with the existing weights from the openloop desi...

12年弱前 | 2

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What is the Input and the Target for this case in the Time Series Tool (Neural Networks Tool)?
1. Find the statistically significant lags using the autocorrelation function. Search greg nncorr 2. Use a subset of the ...

12年弱前 | 1

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how do i collect data for neural networks
N examples of an I-dimensional input and the corresponding O-dimensional target output: [ I N ] = size(input) [ O N ] = ...

12年弱前 | 0

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Am I computing cross entropy incorrectly?
If c classes are mutually exclusive, classifier target probability values should be the certain probability values of 0 or 1 and...

12年弱前 | 2

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Am I computing cross entropy incorrectly?
You are using the Xent form for outputs and targets that do not have to sum to 1. The corresponding output transfer function is ...

12年弱前 | 1