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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...

11 years ago | 1

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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...

11 years ago | 1

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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...

11 years ago | 1

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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...

11 years ago | 0

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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...

11 years ago | 1

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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...

11 years ago | 1

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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...

11 years ago | 0

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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...

11 years ago | 1

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Answered
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 ...

11 years ago | 0

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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...

11 years ago | 0

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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...

11 years ago | 0

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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...

11 years ago | 1

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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...

11 years ago | 0

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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

11 years ago | 0

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Answered
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...

11 years ago | 0

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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 =...

11 years ago | 2

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

11 years ago | 0

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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...

11 years ago | 0

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Answered
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

11 years ago | 0

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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?

11 years ago | 0

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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...

11 years ago | 0

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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...

11 years ago | 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?
You don't need a NN. Just compare using mae or mse

11 years ago | 0

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Answered
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...

11 years ago | 0

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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....

11 years ago | 1

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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

11 years ago | 0

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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...

11 years ago | 1

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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,...

11 years ago | 0

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Answered
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; ...

11 years ago | 0

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

11 years ago | 0

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