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How to improve RBF neural network interpolation ability?
%1. I have normalized the training data and the interpolation inputs, but the result is not as desired. That is no help. Sho...

12 years ago | 0

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Plz, Edit the NEWFF according to the latest version of MATLAB.
This is a Time-Series Problem that can be solved using NARNET with a feedback delay of 15. help NARNET doc NARNET Searc...

12 years ago | 0

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NARX time delay estimation
Consider all lags that are significant. If your cross-correlation function does not output significance levels, consider my a...

12 years ago | 0

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About the value of spread of GRNN
See my previous answer. *Thank you for formally accepting my answer*

12 years ago | 0

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Answered
How to improve RBF neural network interpolation ability?
1. Standarize the inputs to have zero-mean and unit-variance 2. Design two nets a. Odd indices 1:2:55 b. Even i...

12 years ago | 0

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Answered
neural network: probability of prediction
The only way I know of to obtain error bars for a neural net output is to 1. Assume an input probability distribution ...

12 years ago | 0

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Answered
Plz, Edit the NEWFF according to the latest version of MATLAB.
if true % code end clear all, clc [ inputs, targets ] = simplefit_dataset; P = inputs(1:2:end); T = target...

12 years ago | 0

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How can I test a new image for classifying in the trained neural network?
Yes. Why didn't you just try it? It might be instrumental for you to loop over several 90/10 or 80/20 cross-validation des...

12 years ago | 0

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Answered
problem with configuration of neural network
>> help newcf Create a cascade-forward backpropagation network. Obsoleted in R2010b NNET 7.0. Last used in R201...

12 years ago | 0

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Currently I am working on prognosis of bearings using neural network, Any matLab codes available ?? pl. share with me
What type of prognosis? Regression? help/doc fitnet or Classification? help/doc patternnet

13 years ago | 0

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how can change the output of neural network?
The network only calculates mse during training Therefore, just replace the target matrix with 1. target + constant 2...

13 years ago | 0

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Simpleclass_dataset file for sharing (Neural Network Toolbox)
We do not have permission to give you MATLAB data. However, you can use a random number generator to construct your own approxim...

13 years ago | 0

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Step by step calculation neural network output
It depends on what type of network and default properties you used. The first expression does not include 1. a hidden la...

13 years ago | 0

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Answered
Why should I use cross-correlation and auto-correlation to determine the number of delays in a NARX neural network?
It doesn't matter if it is a neural network or any other nonlinear regression model. There tends to be a high probability tha...

13 years ago | 0

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Answered
Optimization using GA tool from ANN output
1. Although the hidden and output layers contain neurons (tansig & purelin), the input layer nodes are fan-in units, NOT neurons...

13 years ago | 0

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Marquardt adjustment parameter (trainbr)
http://en.wikipedia.org/wiki/Levenberg%E2%80%93Marquardt_algorithm

13 years ago | 0

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How can i define the output range in Neural Network?
Change the output transfer function to tansig. Then the default normalized output bounds (-1,1) will be mapped into minmax(targe...

13 years ago | 0

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how can change the output of neural network?
output1 = net(input); output2 = output1 + addednumber rndoutput1 = round(output1) absoutput1 = abs(output1) Or a...

13 years ago | 0

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Time series in Artificial neural network (ANN) example pollution Mortality
rng(0) [net,tr] = train(net,inputs,targets,inputStates,layerStates); tr = tr % No semicolon

13 years ago | 0

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get matlab nural network parameter after training
The objects net and tr contain all of the parameters needed for training and evaluation The command net = net leads to re...

13 years ago | 0

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Time series in Artificial neural network (ANN) example pollution Mortality
1. You should not use the default divide function DIVIDERAND in a timeseries. Although I recommend DIVIDEBLOCK, DIVIDEIND or DIV...

13 years ago | 0

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How to only use training set to train Neural Network using toolbox with "divideInd" option
> How to only use training set to train Neural Network using toolbox with "divideInd" option > Asked by Gary 22 minutes ago...

13 years ago | 1

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Neural Network Toolbox: screen freeze when training with too many samples
Using trainrp instead of trainlm will help Research the documentation for use of net.efficiency.memoryreduction Hope th...

13 years ago | 0

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Regularization in Neural Networks, help needed
The number of hidden nodes of H=300 is more that an order of magnitude off. Try using much smaller values. For regularizatio...

13 years ago | 0

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Conversion to struct from double is not possible- Neural Network Pattern Recognition Toolbox
I cut and pasted your code. It ran with no problem or messages.

13 years ago | 1

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How to get the same output for the same test example provided to the neural network as explained below?
Intialize the random number generator to a specified state before the weights are initialized. For example, rng(0) or rng(1492) ...

13 years ago | 0

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Cross validation, neutal networks, doubt
You can specify the subsets using net.divideFcn = 'divideind' help divideind doc divideind Hope this helps *T...

13 years ago | 0

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Neural Network Function identification
To mitigate random initial weights in classifier design 1. Initialize the random number generator e.g., rng(0) 2. Design ~...

13 years ago | 0

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Neural Network Toolbox: screen freeze when training with too many samples
Not enough info to give you the best advice. Some things to think about: How many examples do you have? How many outputs? ...

13 years ago | 0

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How can i train a multilayer perceptron with complex data?
Google: neural qam adaptive equalization ~ 5000 hits. Hope this helps. Greg

13 years ago | 0