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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...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 0

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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...

etwa 12 Jahre vor | 2

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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-...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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* ...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 0

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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...

etwa 12 Jahre vor | 1

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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

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 2

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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...

etwa 12 Jahre vor | 1

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

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 2

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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

etwa 12 Jahre vor | 2

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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...

etwa 12 Jahre vor | 1

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

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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 ...

etwa 12 Jahre vor | 2

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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

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 0

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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...

etwa 12 Jahre vor | 1

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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...

etwa 12 Jahre vor | 1

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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 ...

etwa 12 Jahre vor | 2

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