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prediction using neural network
help nndatasets help oil_dataset help narnet Hope this helps. *Thank you for formally accepting my answer* Greg ...

12 years ago | 0

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Improving performance on my neural network in Matlab
I do not use shuffling. So, use this code to get a general idea. % The code below is for net.divideFcn = 'dividetrain'. You w...

12 years ago | 0

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Neural Network Toolbox weighting value
Typically, all of the functions are automatically intialized with random intial weights in train or configure. A major exception...

12 years ago | 0

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Neural Network Toolbox weighting value
Is this what you mean y = B2 + LW*tanh(B1+IW*x) ?

12 years ago | 0

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Improving performance on my neural network in Matlab
The only way to guarantee an optimal reduction is to test all possible input variable combinations. However, this is computation...

12 years ago | 0

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Improving performance on my neural network in Matlab
With the info you have given, my only advice is to try to reduce the number of inputs.

12 years ago | 0

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Improving performance on my neural network in Matlab
Transpose your input and target matrices [ I N ] = size(input) [ O N ] = size(target) *Thank you for formally accepting...

12 years ago | 0

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Calculation process of artificial neural networks by nntool
I don't know what problem you are trying to solve. However, 1 hidden layer with tansig transfer functions is a universal appr...

12 years ago | 0

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How can I solve the problem for this code related to retraining a neural network?
I don't have the new documentation yet. I assume "improve generalization" means to improve the estimate of performance on nont...

12 years ago | 0

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Problems about weights in neural network training
After you close the loop: Test the CL net on the original data. It probably will not perform as well as the OL loop net. I...

12 years ago | 0

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How can I solve the problem for this code related to retraining a neural network?
You may be interested in my approach. I have several hundred examples in the NEWSREADER and ANSWERS. Just use the search word...

12 years ago | 0

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How to learn Neural Networking?
What interests you? regression and curvefiting classifcication and pattern recognition clustering data time seri...

12 years ago | 0

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training 2 examples of neural networks
NEWSGROUP SEARCHWORDS No. Hits xor 44...

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Probabilistic Neural Network all outputs the same
1.Normalize inputs to have zero mean and unit standard deviation via zscore or mapstd. 2. Train multiple designs in a loop ov...

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Data format in neural network
N pairs of I-dimensional inputs and 1-dimensional targets. [ I N ] = size(inputs) [ O N ] = size(targets) % O =1 net...

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skin detection by BP
From a strictly coding perspective: p=[119 88 82 204 10;79 59 73 150 10 ;53 55 68 103 20 ]; t=[1 1 1 1 0]; net=newff([0 ...

12 years ago | 1

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Is it possible to connect nodes in one layer to a specific node in the next layer using the Matlab neural net toolbox?
The PNN has a single hidden layer. The output layer AUTOMATICALLY performs the summation. Why would you want to make the net ...

12 years ago | 0

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Classification with Neural Network Toolbox
Once you train an I-H-O neural net classifier net you can save it. save net1 At some future point when you want to classi...

12 years ago | 0

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Classification with Neural Network Toolbox
ynew = net(xnew); Hope this helps. *Thank you for formally accepting my answer.* Greg

12 years ago | 0

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How to divide class in neural network for Biometric authentication?
You are going to have to design many candidate nets to decide the number of hidden nodes and which random weight initialization ...

12 years ago | 0

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How to use the trained network to predict future values?
If the new data immediately follows the data used to design and test the net, the following syntax should have been used [ ne...

12 years ago | 0

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MATLAB CODE FOR ANN is not producing the desired output,program code is given .
The problem is that you do not have enough training data to sufficiently characterize a net of that size. inputs = [31 9650...

12 years ago | 0

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how to drive out an equation from the trained neural network to use as an objective function for genetic algorithm?
The design is unnecessarily complicated 1. You are using the double obsolete design function, newff. The most recent version ...

12 years ago | 2

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Test trained NARX neural network with new external input
If the new data immediately follows the data used to design and test the net, the following syntax should have been used [ ne...

12 years ago | 0

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Problem with "Confusion" in neural network toolbox
If you have a c-class classifier, the target matrix should contain columns of the c-dimensional unit matrix eye(c). If the o...

12 years ago | 0

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how to improve ANN results by reducing error through hidden layer size, through MSE, or by using while loop
I answered this question in the NEWSGROUP PLEASE DO NOT POST MULTIPLE COPIES OF THE SAME QUESTION. IT IS RUDE, NOT TO MENT...

12 years ago | 0

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what is the problem of my ANN program and i want to reduce its error. nueral network training performance image is attached.
Your data set is not large enough. See my other posts regarding this data set.

12 years ago | 0

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What is learning rate in ARTIFICIAL NUERAL NETWORK IN MATLAB?
To repeat design results, initialize the RNG before configure or train. For example rng(4151941)

12 years ago | 0

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MATLAB CODE FOR ANN is not producing the desired output,program code is given .
http://www.mathworks.com/matlabcentral/answers/81652-matlab-code-for-ann-is-not-producing-the-desired-output-program-code-is-giv...

12 years ago | 1

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i want to know the code of the under given inputs and outputs ANN problem
Neural Networks are used to represent functions that are described by a sufficient number of examples of input/target data. If...

12 years ago | 0

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