Answered
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...

13 years ago | 0

Answered
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...

13 years ago | 0

| accepted

Answered
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 ...

13 years ago | 0

| accepted

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

13 years ago | 0

| accepted

Answered
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...

13 years ago | 0

| accepted

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

13 years ago | 0

Answered
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...

13 years ago | 2

| accepted

Answered
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...

13 years ago | 0

| accepted

Answered
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 ) % [ ...

13 years ago | 2

| accepted

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

13 years ago | 1

| accepted

Answered
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 ...

13 years ago | 0

Answered
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...

13 years ago | 0

| accepted

Answered
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...

13 years ago | 0

Answered
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...

13 years ago | 0

| accepted

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

13 years ago | 0

| accepted

Answered
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...

13 years ago | 0

| accepted

Answered
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...

13 years ago | 0

Answered
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...

13 years ago | 0

Answered
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...

13 years ago | 0

| accepted

Answered
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...

13 years ago | 0

| accepted

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

13 years ago | 0

| accepted

Answered
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...

13 years ago | 0

| accepted

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

13 years ago | 0

Answered
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 =...

13 years ago | 0

| accepted

Answered
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...

13 years ago | 0

| accepted

Answered
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...

13 years ago | 0

| accepted

Answered
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...

13 years ago | 0

Answered
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...

13 years ago | 0

| accepted

Answered
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...

13 years ago | 1

| accepted

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

13 years ago | 0

| accepted