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How would I design a typical I-H-O net with Ntrn training examples ?
You can look up the documentation examples for fitnet and patternnet using commands help and doc then you can search for o...

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No Big Difference using newpr or patternnet and epochs reduction
% No Big Difference using newpr or patternnet and epochs reduction % Asked by farzad on 21 Feb 2015 at 13:32 % Latest activi...

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Differrence between feed forward & feed forward back propagation
1. Regardless of how it is trained, the signals in a feedforward network flow in one direction: from input, through successive...

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improve the performance of nprtool
Insufficient information Which of the MATLAB classification example datasets are you using? help nndatasets doc nndata...

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hi, i want to know whether multi-layer Bayesian neural network and MLP(Multi-Layer perceptron), with Bayesian regularisation same or different??
They are different. However, I will let you run both to see if the same inputs yield the same outputs. It will help if y...

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how it is possible to have overfitting before the network learn properly?
Poorly worded question Are we supposed to guess 1. That you are referring to a classifier ? 2. Which MATLAB function y...

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i am confused with RBF kernal based ANN classification. when i implemented, all images are missclasified.. T is class label , P is training image feature , P1 is testing image feature...Can any one correct my code please,........................
P and FF1 are undefined >> net = newrbe(P,T,SPREAD); Undefined function or variable 'P'. >> P1= FF1; Undefined func...

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how to use this code.
It is neither used for design or simulation. It just gives the values of the weights. Hope this helps. *Thank you for f...

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Adjusting delays in a NARX neural network
MATLAB Toolbox yields the standard dependence on the present input indicated by a 0 input delay. However, feedback delays must ...

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Parameters of Neural Network estimation methods in Matlab
Usually? The number of training algorithms is in double figures. Most likely, the one used most is FITNET for Regression and Cur...

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How can I get outbounds/uncertainties with Neural Network ?
Assume that errors are normal with zero mean output = target +/- sqrt( mse(target-output)) Hope this helps *Thank you...

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Neural Network Weights and Bias?
IW =net.IW{1,1} b1 = net.b{1} LW =net.LW{2,1} b2 = net.b{2} Hope this helps. *Thank you for formally acceptin...

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Intelligent algorithm for classification
Try these and choose the best 1. Delete the examples 2. Replace inf with NaN 3. Replace inf with a large number Hope...

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How to specify the test samples using neural network toolbox?
help divideind doc divideind Hope this helps *Thank you for formally accepting my answer* Greg

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How to properly train the neural network type RBF?
A mistake. 1. See the documentation help newrb doc newrb 2. See my previous posts. Search the NEWSGROUP and ANSWERS...

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Normalization inputs data & dividing data for training - validation- test
1. See the description and example used in the help fitnet and doc fitnet documentation [x,t] = simplefit_dataset; net =...

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how can i create a smart grid using artificial neural networks
ANSWERS SEARCH neural forecast 112 hits

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Forecasting by Neural Network
It is straightforward. The basic logic is 0. Standardize T using cell2mat and zscore 1. Minimize H subject to NMSEo <= 0.0...

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How can I use Neural Network Recognition(in Matlab )to find out which signal is much more like to my signal?
help newpnn doc newpnn Hope this helps. Greg

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Using a Neural Network schematic as a figure in an article
This is primarily a users forum. Why not contact MATLAB directly?

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Plz help me to to test an image using RBF ( radial basis function ) kernal function with Artificial Neural Network?????in matlab code
You haven't provided P isequal( net(P), sim( net, P )) % 1 err = ANNRESULT~=Tc Nerr = sum(err) PctErr = 100*Nerr...

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Forecasting by Neural Network
MSE00 = mean(var(cell2mat(T)',1)) % For T cell MSE00 = mean(var(t',1)) % For t double, series are rows nperfc is unsatisfa...

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How can I use Neural Network Recognition(in Matlab )to find out which signal is much more like to my signal?
You don't need a NN. Just compare using mae or mse

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I am using NN in matlab to predict energy use for residential and I got this error
length(t) = 189 length(y) = length(Test)= 84 ~= 189 You do not have the target for Test. Therefore, you cannot quantify th...

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validation error in neural network
% 0. One hidden layer is sufficient provided there are enough hidden nodes. % 1. Use t for target and y for output % 2....

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Can I use the neural network toolbox to train and test customized feed-forward networks?
http://www.mathworks.com/help/nnet/ug/create-and-train-custom-neural-network-architectures.html Good Luck Greg

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How to define x and y in this neural code ??
I don't recommend that code. Use FITNET or PATTERNNET. The documentations and trivial examples are readily available using t...

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neural network toolbox, prediction problem
It looks like you are trying to predict a timeseries of 256 dimensional vectors beyond the known 300 examples. 1. Ordinarily,...

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validation error in neural network
The validation stopping occurs because the net is performing badly on nontraining design data. You don't want to overcome it; ...

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How to use msereg and cross-validation
Yes, any cost function will be applied to the whole dataset.

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