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Neural Network: Single Input, Multiple Output
Unfold your target images to 35x1 column vectors using (:) or reshape. Then [I N ] = size(input) % [ 1 1000] [ O N ] =siz...

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Fundamental Concepts - Neural Networks
Yes, provided the random number generator is initialized to the same state, (Data division is random as well as the initial w...

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Neural Networks - train function
[net tr Y E Xf Af] = train(net, x, t, Xi, Ai) tr -training history Y - Output E - Error (t-Y) Xf - Final input ...

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how to classify two class using neural network
patternnet help patternnet doc patternnet Hope this helps. Greg

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feeding training and testing data into network
Those functions are not valid for the radial basis functions Just train with the training set. Then, when it is finished, test w...

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Feedforward Network and Backpropagation
There is no MATLAB neural-network training algorithm that directly minimizes discontinuous classification percentage error rate ...

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how i can save the output of hidden layer of neural network
close all, clear all, clc, plt=0; delete h.mat delete LW.mat delete b2.mat delete tsettings.mat [ x, t ] = simplef...

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how can i enter more than one input in neural network??
Use a two dimensional column vector input with dim 1 service values and dim 2 quality values the target is a 1 dimensional sca...

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Feedforward Network and Backpropagation
Use the default trn/val/tst ratio 0.7/0.15/0.15 or choose 0.6 <= Ntrn/N <= 0.7 with Ntst = Nval. [ I N ] = size( x ) % [ ...

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Neural Networks - Simple question ?
1.Read the command line documentation: help dividerand doc dividerand type dividerand % If you have permiss...

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neural network nprtool tansig vs logsig
You can not manually add logsig after being trained with purelin logsig(0:1) = 0.5 0.7311 The net has to be trained with ...

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Pattern recognition by neural networks, using binary data sparse matrices
The design is straightforward. Just train using a 63xN dim input matrix and a 21xN dim target matrix. However, N needs to b...

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how i can save the output of hidden layer of neural network
clear all, clc [ x, t ] = simplefit_dataset; net0 = fitnet( 10 ); [ net0 tr0 y0 ] = train( net0, x, t); whos %You...

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How to find autocorrelation function for a mm-sequence ?
I do not have xcorr. However, I believe there are at least four options with names like 'unbiased', 'biased' , 'coeff' and 'none...

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Artificial neural network k-cross validation.
Which neural net? fitnet(regression/function-fitting), patternnet(classification/pattern-recognition), narxnet(timeseries regres...

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Why my Neural Network (NN tool box) is not able to predit output from input
% First of all I thank you for your response. I ran my code on pollution data set and this is the code with my comments and ques...

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As predicted delayed outputs settle in NarX
1. I do not have autocorr or parcorr AND your plots are too fuzzy for me to understand. 2.Since training par...

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As predicted delayed outputs settle in NarX
1. Your use of the words pump, rejections, cookies and futulos(not English) are not appropriate and somewhat confusing. 2. On...

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How to save neural network
clear all, close all, clc; [x,t] = simplefit_dataset; [I N ] = size(x) [O N ] = size(t) xtrn = x(1...

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How to use RBF NN for classification?
%How to use RBF NN for classification? %Asked by rakesh r on 28 Mar 2013 at 11:29 %Sir, I need to use RBF NN for a class...

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Recognizing digits from neural networks
input =image(:); % columnize *Thanks for formally accepting my answer*

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The much step forecast with usage of the recurrence neural networks
You have to fill in the details. The main theme is help/doc narxnet help/doc preparets help/doc closeloop search nar...

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How to use image input with Neural Network?
input = [ D1(:) D2(:) D3(:) ] *Thank you for formally accepting my answer* Greg

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As predicted delayed outputs settle in NarX
% 1. Selected ending semicolons can be removed to aid debugging [P, T ] = simplenarx_dataset; whos p= cell2mat(P); t =...

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RBF Neural Network traning data limit
Divide your data randomly into n partitions. Train a successful net for each partition Average the outputs to form a sing...

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Evolving an Artificial Neural network without using backpropagation
If you wish to compare training functions, use a straight forward backprop e.g., fitnet or patternnet. *Thank you for accept...

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Closedloop Recurrent Neural Network problem
Assume a 1-dimensional training target of length N 1. xcorrtn = nncorr(zscore(ttrn,1),zscore(randn(1,N)),N-1,'biased'); 2...

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I am using matlab r2010a to design a neural network to model 13,440 samples of numeral data of 3 input variables and 1 target. When i try to train, i get the following message;Targets are incorrectly sized for network. Matrix must have 3 columns
1. Learn how to format your submissions e.g., indent equations 1 space 2. Transpose your matrices (as explained in the docume...

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transfer function which is the best?
Always use the default. There is no need to specify. See the documentation for an alternative only if you are having a problem c...

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Closedloop Recurrent Neural Network problem
I have 3 suggestions. 1. Only use significant delays obtained from the target autocorrelation function and target/input cross...

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