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narx network producing different outputs for same input
If you are reusing the same trained network, the difference is probably caused by different initial delayed values. If you ar...

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Adapt and sim produces very different outputs
ADAPT is a learning algorithm that updates weights after the presentation of each input vector. Therefore, each output correspon...

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Is there any RBF neural network function available for classification problem?
Yes. 1. Divide the data 2. Normalize or standardize the training set 3. Use the training set statistics (min/max or mea...

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How can cross validate neural networks
1. There is an error in the NEWFIT documentation. 'linear' is not a valid option; replace with 'purelin'. 2. NEWFIT calls NEW...

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scale data for NN
1. Derive a linear tranformation xn(x) = a.*x + b such that xn( x = min(x) ) = -1 xn( x = max(x) ) = +1 2. Deriv...

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Training neural network for facial expression classification
Use the vectorization operator, : , to convert each processed image to a column vector. The corresponding target vector is a co...

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unsupervised Learning Vector Quantization (LVQ)
Kohonen's LVQs are supervised versions of SOM. His books provide the details. help newsom doc newsom Hope this helps. ...

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scale data for NN
You do not have to scale the data because variables are AUTOMATICALLY scaled to {-1,1} with MAPMINMAX by NEWFF, FITNET, PATTE...

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Is there any RBF neural network function available for classification problem?
108 results for heath newrb classification Hope this elps. Greg

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Is there any RBF neural network function available for classification problem?
help newrb doc newrb Search the newsgroup using heath newrb Hope this helps. Greg

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Help for mathematical equation of regression in ANN
hiddenLayerSize = 30; 1. TOO LARGE AND INCOMPATIBLE WITH NEXT COMMAND net = newff(mi...

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Using Backpropagation Neural Nerwok for forecasting simple data
Search the Newsgroup using heath newfftd Hope this helps. Greg

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Help for mathematical equation of regression in ANN
This question has been asked many times in both the Newsgroup and Answers. If you do not use the default normalizations of input...

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Regression function of Neural Networks
In general, there is no way to get "the function for each variable". If you vary one variable with all of the other variables...

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Regression function of Neural Networks
See my answer in the recent Answers post titled: Write code for NN using the Weight and Bias data retrieved from the NN tool ...

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how to testing single input in perceptron??
error = t - hardlim(w1*p1+w2*p2+b) Why don't you have a bias b ?? Hope this helps. Greg

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how to train neural network on vector of vectors
If the training set consists of N pairs of I-dimensional input vectors and corresponding O-dimensional target vectors, the siz...

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Artificial Neural Network Question
help msereg doc msereg type msereg Hope this helps. Greg

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determine input output neural network
Q1. at initial program code, the nosetrain (& also nosetest) is something that we recall from excel file. is it?? if its rig...

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Write code for NN using the Weight and Bias data retrieved from the NN tool box
Searching the Newsgroup using IW heath close all, clear all, clc [ x, t ] = simplefit_dataset; [ I N ] = size(x) ...

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determine input output neural network
That's a job for you. If you have a question on any commands let me know. You can use the debugger, a very small data set ...

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Neural network outputs in each epoch
I think that is only possible if you change the source code. If you try M runs of 1 epoch long, at each new call,the internal...

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determine input output neural network
% determine input output neural network % Syafiq Muhammad asked about 19 hours ago % Latest activity: Edit by Syafiq Muhammad...

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neural network toolbox classification?
The comp.ai.neural-nets FAQ recommends bipolar binary coding { -1, 1} for input categorical variables and unipolar binary coding...

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neural network toolbox classification?
Inputs to a MATLAB TBX NN are column vectors. The first three inputs are categorical and can be represented by binary numbers. F...

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Setting up Inputs and Targets for neural networks
For N pairs of of I-dimensional inputs and corresponding O-dimensional outputs [ I N ] = size(input) % [ 20 5e5 ] [ O N ]...

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Train and Simulate Neural Networks
[I N ] = size(p) [ O N ] = size(t) H = 10 net =newff(minmax(p),[H,O]); [net,tr1] = train(net,p,t); o1 = sim(net,...

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Multiple inputs using NEWFF
[I N ] = size(p) [O N ] =size(t) net = newff(p,t,H); Results in a FFMLP with I-H-O node topology. Hope this helps. ...

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Custom NN in matlab
If you have N I/O pairs with I-dimensional input vectors and corresponding O-dimensional output target vectors, the size of the ...

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Strange results with Matlab Neural Network Toolbox
Please do not email followups. Stay within Answers. If the following does not help, reply here, not via email. % On Mar 31...

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