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neural network??
>it works very well for these data "102". but now i want to know how i can adapt this net to other datas? >u have an idea? i...

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Standardisation (zero-mean, unit-variance)
> I standardise the input and targte output on which I train the network but this means that my estimated >output, when I simula...

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Training a neural network
For the fitting net I assume you are using x =[input(:,2:end); target(:,1:end-1)]; t = target(:,2:end); size(input) ...

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neural network??
Training has to be done with a subset that has the dominant characteristics of all the data. One case is not sufficient. If trai...

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Dividerand - neural network training
If you do not include tr as a training output, the only way to obtain the dividerand indices is to call dividerand before calli...

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initializing tapped delay line with desired values
What are you modelling that requires 8 hidden layers?

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neural network??
The construction of the net is basic. See the documentation, examples and demos. The basic problem is that with N = 7 you pro...

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Determine impact of Neural Network inputs on outputs.
See the folowing post: View weights used in a neural network created after using the GUI Sarah asked on 18 Jun 2012 at 10:...

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Interpreting neural network result
Assume you have O (O>2) classes, O output nodes, and N targets that are columns of the O-dimensional unit matrix eye(O). Then ...

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training multi dimensional features using newff or newpr
If the N input vectors are I-dimensional and the N output vectors are O-dimensional the training matrices have sizes [ I N ]...

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how to define number of neurons in nntool (neural networl tool) in Matlab R.2009.a
The number of 2nd layer neurons is equal to the dimension of the output training vectors. Greg

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I want optimum combination of three inputs which will provide me optimum values of eight outputs
This is not a job for a NN. The net tries to yield the specified training output when the corresponding training input is applie...

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Dividerand - neural network training
The structure tr in the double output [net tr ] = train(net,x,t); will contain the train/val/test indices. Greg

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Neural Network - Mapping of available inputs to corresponding outputs - Switching off unavailable input/output
Train the net with sample input/output pairs. Use zeros to indicate the no input and no output states. Greg

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Predicting microstructural properties using Neural Network: Backpropagation
1. The scaling of the target data is unbalanced meant = mean(t')' % [ 36.5 1.08 -4.38 ]' vart = var(t')' ...

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How to display Confusion matrix of Testing ,Training and Validation without using nprtool
net = patternnet(x,t,H); [net tr ] = train(net,x,t); The training record in the structure tr contains the indices for ...

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View weights used in a neural network created after using the GUI
If you want to rank input importance, looking at the input weights is not sufficient. 1. Standardize input and target variab...

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1/X & X^-1 are they the same?
clear all, clc ver % --------------------------------------------------------------------------- % MATLAB Version 7.13.0....

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Discrete Fourier transform of real valued Gaussian using FFT
If T = N*dt and Fs = 1/T. t = linspace(- (T - dt)/2 , (T - dt)/2 , N ) % N odd or t = linspace( - T/2 , T/2 - dt , N ...

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Pattern recognition neural network : training process performance question
Initial weights are chosen randomly. In order to duplicate previous runs you have to reset the RNG to the same initial state. I ...

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Error using ==> rdivide
clear all, clc rng(4151941) w = randn(2, 3) w1 = w./ repmat(sum(w),2,1) w2 = bsxfun(@rdivide,w,sum(w)) e12 = norm...

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Code for CorrCoef without using inbuilt function
type corrcoef Greg

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Genetic Algorithm - weights ensemble optimization
What is the dimensionality of your input vectors? Can it be reduced without significantly degrading performance? How many ...

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neural network- nodes
Some types of networks are automatically created with random weights. Typing net without a semicolon will list all of the pr...

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extract feature
Convert input images to column vectors by using the colon operator. columnvector = image(:); Hope this helps. Greg

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Neural Network training and improvement
column2 = column1 column 4 = column3 = repmat([1 3 5 7]', N, 1) Therefore you can make four plots of column5 vs column1 wi...

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Neural Network training and improvement
It is very clear that your training data does not adequately represent the relevant characteristics of your validation and tes...

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Changing the weights in a neural network
net.IW = ... net.LW = ... net.b = ... Try searching the Newsgroup and/or Answers with heath net.IW Hope this help...

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neural network toolbox
Read the documentation. Try to duplicate the demos and examples. Hope this helps. Greg

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Neural Network training and improvement
The number of input and output neurons are automatically determined by CONFIGURE or TRAIN. Some of the training plots indicat...

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