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How to remove outlier from training data before training artificial neural networks ?
Use zscore or mapstd to transform to zero-mean/unit-variance. Plot Decide how many standard deviations from the mean to s...

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Zero-weights initialization in feedforward network
You have to define a net via net = newff before you can assign any properties or values. With OBSOLETE functions like newff, ...

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difference between true and apparent error in neural network
Where did you find that terminology? There are several quantities that can be identified. 1. The underlying error-free I/...

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Custom transfer function much slower than standard transfer functions
Just modify the code for radbas. type radbas *Thank you for formally accepting my answer.* Greg

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plot the evolution of responce for every input variable of a neural network after trainning
Set 3 of the variables equal to their mean value. Then vary the other; For example input2 = [ repmat(mean(x(1,:)')',1,N); x(...

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Face recognition using back propagation network.
How many examples do you have? How many classes? The number of hidden nodes should probably be much smaller than 48 Why...

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About neural network : newbie question
There is no reason to use cells or only train for 10 epochs. Use round to convert the output to {0,1} *Thank you for for...

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problem with rng during retraining of a neural network
randperm is used without initializing the RNG. *Thank you for formally accepting my answer* Greg

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how can a I train this whitout using nftool?
help fitnet doc fitnet Use all of the defaults. Hope this helps. *Thank you for formally accepting my answer* Gr...

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problem with neural network training
Adding noise after each epoch does not sound like a very productive method. Given the number of hidden nodes, design many net...

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probabilistic neural network coding problem
1. Class 1 has 2 duplicate points and class 2 has 1 duplicate point 2. There is an 8 orders of magnitude difference between v...

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How to design a nonlinear fitting neural networks with inequility constraints using MATLAB ANN Toolbox ?
NN design is based on a large sample of I/O pairs of data. If you neither have, nor can generate, representative I/O pairs I...

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Problems with outputs in Neural Networks (in Matlab NN toolbox)
You are experiencing the result of overtraining an overfit network. Training, Validation and Test subsets should, each, be la...

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2-Class Problem with patternnet
Class 1 target should be [1;0] and class 2 should be [0;1] N1 = 13840, N1trn = 9421, N1val = 2044, N1tst = 2015 N2 = 789...

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Creating A Layer Recurrent Neural Net with more than 1 Hidden State.
1. What is the definition of a hidden state?...the output of a hidden layer? 2. Why do you think you need a layrecnet instead...

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??? Error using ==> network.train at 145 Inputs are incorrectly sized for network. Matrix must have 1000 rows.
Transpose your matrices so that inputs and outputs have the same number of columns.

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How to Initialize the weights randomly and train for 20 different sets of initial weights?
1. I would first consider a. Feature extraction to reduce the size of the matrices b. Data division and an ensemble of...

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Neural Network Times Series ahead prediction in Matlab, how to build input and output data
Perhaps you did not understand me: I do not understand what you want. An example using a MATLAB data would clarify the i...

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How to Initialize the weights randomly and train for 20 different sets of initial weights?
As far as answering the questions in the title: 1. Random weight initialization is a default 2. Search using gre...

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a question on neural network
The only direct references are my posts in NEWSGROUP and ANSWERS. Search on those variable names to obtain further details. A...

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Neural Network Times Series ahead prediction in Matlab, how to build input and output data
This is a poor data set for a realistic time-series example. Find a more appropriate example and code using help nndatasets...

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Can anyone help me with a Matlab program to cluster using self organizing maps???
First search on "SOM" >> lookfor som Second, use the commands help and doc to understand functions that a. Deal with c...

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error ??? Index exceeds matrix dimensions.
Did it ever occur to you that it is self defeating to include code with a data set that is not accessible to those who want to h...

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How to implement neural network in matlab using newff command
>> help newff newff Create a feed-forward backpropagation network. Obsoleted in R2010b NNET 7.0. Last used in R2010a...

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Matlab code for Supervised SOM neural network
A net cannot be self-organizing if it is supervised. You should be looking for Learning Vector Quantization Nets >> lookfor l...

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a problem with neural network training
There are MANY thing wrong with your code. 1. Your premise of using a full data design to initialize divided data designs doe...

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The demos of neural network toolbox on back propagation(BP).
1. a. help fitnet % regression and curve-fitting b. help patternnet % classification and pattern recognition 2. Re...

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Output value in a Neuraql Network
output = net(input); *Thank you for formally accepting my answer* Greg

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How can I use a trained neural network as an objective function in GA optimisation
Use the trained network to calculate the MSE on non-training data. Normalized MSE NMSE = MSE/mean(var(target',1)) and "Fract...

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How can i save/extract values of plotinerrcorr into a workspace sheet?
You could modify the source code. However, it is easier to just compute the values directly using a corrected version of nncorr....

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