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How can I use an algorithm for traning a NARX network and optimize another model in the same time ?
Just because I've never heard of it in my 3-decade experience with NNs doesn't mean it can't be done. For regression and clas...

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How can I correctly classify inputs for a neuronal network?
1. Unlike the MLP classifier (patternnet), the RBF classifier (newrb) is automatically trained, without trn/val/tst data divisio...

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THE DIFFERACE RESULT IN NEURAL NETWORK PROBLEM
if you are using a saved net that has been previously trained, this should not happen. If you are setting the RNG to the same...

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What is the difference between classifiication and matching in neural networks?
You haven't explained what type of classifier you have designed. In particular, what is the command sim(T,testimage) supposed to...

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Neural network with limited datasets
[ I N ] = size(inputs) % [ 15 42 ] [ O N ] = size(targets) % [ 1 42 ] Ntrn = N -2*round(0.15*N) % 30 default...

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BACK PROPAGATION WITH 2 HIDDEN LAYERS
My recommendation is to FIRST use one hidden layer and try to minimize the number of hidden nodes while achieving an adjusted R-...

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Price Forecasting Using Neural Networks
For N examples of the I factors and corresponding prices [I N ] = size(input) [1 N ] = size(target) help fitnet d...

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Neural Network tool box
Default trn/val/tst data division and initial weights are random. To duplicate runs you have to initialize the RNG to the same i...

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How to scale the output of test data to its original value in neural network??
I think you are asking how to renormalize outputs when targets are scaled. If you use the defaults, they are automatically r...

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Having a problem training & Testing the Neural network
train takes 3 inputs, not 2. help train doc train Hope this helps. *Thank you for formally accepting my answer* ...

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What is the difference between classifiication and matching in neural networks?
I don't understand how you can be training a net when you don't know what the output should be. If you have c categories, num...

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Does using ANN as the fitness function minimizes all the outputs of ANN ?
Again, Outputs are not fitness functions. Fitness functions are nonnegative functions of the matrix output matrix, y, and ta...

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Using of NARX in the case a time series step is not constant and inconsistent from one sample to another.
[ 4 600 ] = size(input) [ 1 600 ] = size(target) help fitnet doc fitnet

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Do Train and Test have to be in the same file - Neural Network Matlab Toolbox
No. it is not the correct way. The inputs to confusion and plotconfusion must have the same dimensions because they should b...

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Does using ANN as the fitness function minimizes all the outputs of ANN ?
No. The network is designed to minimize the statistical estimate of a fitness function like mean-squared-error. There are no...

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did i need target matrix for new input testing??
If you have a new input you can use the net to obtain an output and the corresponding classification. However, without the corr...

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Question about neural network weights/biases initialization
net = configure(net,inputs,targets); help configure doc configure Hope this helps. Greg

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Do Train and Test have to be in the same file - Neural Network Matlab Toolbox
The training algorithm does not estimate weights using validation or test data. data = design + test; design = train + v...

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How to set manually training and test data for training a neural network
It is probably easier to use 'divideblock' Hope this helps. Greg

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Using of NARX in the case a time series step is not constant and inconsistent from one sample to another.
Terminology: You have 1 sample of 200 examples. Do you mean you have 3 constanr inputs (a,b,c) ? If so, ignore them and yo...

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newff
There are many examples in ANSWERS and the NEWSGROUP. The pattern-recognition/classification function newpr calls newff. However...

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Need help on Neural Network Multiple Classes Training
Insufficient definition of the 11-dimensional input space. Even if you trained with 2 vectors per dimension. You probably wo...

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How to use ANN for fault classification
help paternnet doc patternnet help nndata Search ANSWERS and the NEWSGROUP using the keyword patternnet ...

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How do I arrange and input my data for a time series problem?
This is a fitting problem. help fitnet doc fitnet Search fitnet greg fitnet {;>) Hope this helps

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NN Training Data
The optimal ratio for training, validation and testing depends on the data. The MATLAB default is 70/15/15 The default spl...

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how can I access the outputs of the hidden layers in a neural network?
Take the I-H-O net and create an I-H net with no hidden layer. See the section in the documentation on custom nets. ADDITI...

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Neural Mapminmax option for a set
If the total data set is assumed to be a random sample from the population and the trn/val/tst subsets are random samples from...

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Input-Output Fitting problem with a Neural Network - Stock predication
My previous answer is for regression and curve-fitting. Unfortunately, I concentrated more on your given code than your writ...

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Input-Output Fitting problem with a Neural Network - Stock predication
close all, clear all, clc, plt = 0 % NOTE: SOME SEMICOLONS REMOVED FOR DISPLAY PURPOSES % Read Useful Info % help nn...

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Some questions about House Pricing problem
1. Standardize all inputs and outputs to zero-mean/unit-variance 2. Remove or modify input and output outliers so that (help ...

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