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Neural Network data after training
It is not clear what you want. In general, for an I-H-O MLP, each target and output are O-dimensional. Do you want a plot for ea...

14 years ago | 0

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magnitude and phase response
N = 1000, tmax = 1, dt = tmax/(N-1), Fs = 1/dt, T = N*dt t = linspace(0,tmax,N); t = dt*linspace(0,N-1,N); t = linsp...

14 years ago | 0

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Neural Network data after training
You can find a number of code examples using an older version of MATLAB via searching the Newsgroup using heath newff clear c...

14 years ago | 0

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Neuronal Net training
Which network? Which outputs? help train doc train Look at the explanation of what outputs are available at the ...

14 years ago | 0

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not getting good results while simulation in NNTOOL
continued ... You should scale and center the data. zero-mean/unit-variance inputs with tansig hidden node activation ...

14 years ago | 0

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Answered
not getting good results while simulation in NNTOOL
>thanks sir,actually i am very new to neural network so not able to >understand wha you are tring to convey. yes the data is n...

14 years ago | 0

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not getting good results while simulation in NNTOOL
My nane is Greg; not Gary. To better understand your data, I recommend you color code and overlay plots of the 9 output ser...

14 years ago | 0

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creating Neural Network model using divided data
1. Decide what type of neural network you want. 2. Read the documentation, examples and demos. 3. Try to duplicate at leas...

14 years ago | 0

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Non-Constant Frequency & FFT
See my answer to your newsgroup posting. Hope this helps. Greg P.S. I don't think MATLAB wants you to post the same que...

14 years ago | 0

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Neural network training using UCI repository dataset
help load doc load Hope this helps. Greg

14 years ago | 0

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not getting good results while simulation in NNTOOL
It is difficult to give advice when you haven't fully specified your problem. How much data do you have per year? Is it eve...

14 years ago | 0

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[DISCONTINUED] Wish-list for MATLAB Answer sections.
Please add a latest activity line in the listing of topics. It is very annoying to have to open the topic just to see if I ...

14 years ago | 2

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Choosing data as training, validation and testing ANN
It is straightforward: ptrn = A(1:80); pval = A(81:90); ptst = A(91:100); Similarly for t and B. Or did I miss so...

14 years ago | 0

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Need help regarding getting weight, bias and layer input matrix at each iteration
Please reread the comments after the line [net tr Y E] = ... Since you have the updated net, you can obtain the updated we...

14 years ago | 0

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NEURAL NETWORK reproducibility of results using neural networks without initfcn = 'rands'
Weight space contains jillions of local minima. Therefore I never expect to get a good solution the first time around. That i...

14 years ago | 0

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Code for regularization of RBF Neural Network
Try NEWFF with RADBAS, PURELIN and MSEREG. Hope this helps. Greg

14 years ago | 0

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NEURAL NETWORK reproducibility of results using neural networks without initfcn = 'rands'
Try printing out the weights just before the call to TRAIN to see if they are different. Don't forget to initialize RAND before ...

14 years ago | 0

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Need help regarding getting weight, bias and layer input matrix at each iteration
You only need 2 hidden neurons. For best performance use bipolar [-1 1] inputs and TANSIG hidden nodes. Use TANSIG for b...

14 years ago | 0

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Answered
Choosing data as training, validation and testing ANN
See the input parameter list of the newff documentation help newff Hope this helps. Greg

14 years ago | 0

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How to achieve good results in MLP
help mapstd doc mapstd type mapstd Hope this helps Greg

14 years ago | 0

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Neural Network Design.
Insufficient Information. What versions of Matlab & NNToolbox? What kind of physical problem are you trying to solve? R...

14 years ago | 0

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Help in configuration of backpropagation neural network LM
I see one glaring problem. However, just use all of the default values. If results are unsatisfactory, then think about changing...

14 years ago | 0

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Weights during network training
rand('state',0); net = newff(p,t,H); IW = net.IW{1,1}; b1 = net.b{1}; IW = net.LW{2,1}; b2 = net.b{2}; %...

14 years ago | 0

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cross-validation ANN
What is your goal?... Find the single best network? If so, what is your criterion? Find the M best networks to use in a ...

14 years ago | 0

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Forecast with GRNN
Newgrnn is not appropriate for timeseries prediction. Use newfftd. help newfftd doc newfftd Search the archives n...

14 years ago | 0

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Data classification: Learning vector Quantization or two-layer feed-forward network???
I don't agree. Reread your sources. This is my understanding: Unsupervised learning creates a representation of data b...

14 years ago | 0

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reproducibility of results using neural networks
newff automatically uses rand and initnw. Therefore, all you have to do is initialize rand before calling newff. Hope this...

14 years ago | 0

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water demand forecasting using neural network
Start by reading the documentation and try to reproduce the timeseries forecasting examples. Additional information can be obt...

14 years ago | 0

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NEURAL NETWORK reproducibility of results using neural networks without initfcn = 'rands'
I don't know. Avoid the issue by intializing rand before calling newff. Then just accept the resulting default initnw weights...

14 years ago | 0

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Art. Neural Network (ANN): How to get a binary output response
If you have c classes/categories and the targets are the columns of the c-dimensional unit matrix, then the outputs are estimate...

14 years ago | 0

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