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How to optimize patternnet using a genetic algorithm
See my three replies to your question in this Newsgroup thread: <http://www.mathworks.com/matlabcentral/newsreader/view_thread/...

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NARX for Multi Input Multi Output system Identification
1. Write and test your code assuming SISO 2. Convert to MIMO and test 3. If you have problems or questions, post relevant ...

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Regarding Neural network fitting tool
Everything you need is stored in the training structure tr. Just type tr = tr with no semicolon to see what is there. [ net...

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How to built time delay network for time series prediction ?
The created net does not know it is going to have a 5-dimensional input. view(net) Therefore, tell it by using CONFIGURE (...

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Perceptron Neural Network using matlab
If you have the NNTBX, just read the documentation and try a few demos using PATTERNNET and some of the pattern recognition/clas...

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'preparets' command in Matlab Ver 7.9.0 (R2009b)
Using the commands type closeloop and type preparets, I found the copyright dates of 2010 and 2010/2011, respectively. So if you...

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kindly guide me which algorithm should i use in pattern matching else then neural networks?
It depends on your version of the Neural Network Toolbox. The current version is PATTERNET. The previous version was NEWPR. U...

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As used in closed loop network NarX reality
Please add a line of English translation beneath your Spanish cooments % I have two files: % p (are the inputs), consistin...

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'preparets' command in Matlab Ver 7.9.0 (R2009b)
1. Run all of the original data through the open loop net. Tabulate and plot the resulting OL error. You may want to color code ...

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How to exactly predict the percentage of individual classes detected in a neural network regression problem
You don't have a regression problem. You have a 5-class classification problem. The target matrix size should be [ 5 N ] cons...

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As used in closed loop network NarX reality
I think the network is evaluated openloop and I think it gives good results, What are I, N, ID, FD, H, Ntrn, Nval, Ntst, R...

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Precisions obtained with network openloop NarX
net = narxnet(ID,FD,H); What are ID, FD and H? Typically, the sign of overfitting is very high R2trn with much lower R2t...

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Network iterations closeloop NarX
Not sure what you are asking. Have you successfully designed and evaluated the open loop net? R2trn = ? R2trna = ? R2val = ?...

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SKin cancer detection using ANN
How many features? How many class 1? How many class 0? help patternnet doc patternnet Search the NEWSGROUP and AN...

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Training NARX open loop but testing closed loop
% So below you can see how my final code looks like for at least the open loop part still this part has two problems. % 2....

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New questions and valuation of final results
Before you close the loop, use tr to closely examine the trn, val, and tst results. The order of importance is tst, val , trna...

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How is test set used in trainbr algorithm?
The test set is never used to influence the design. *Thank you for formally accepting my answer* Greg

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can anyone explain me this code??
I've got a better idea: 1. What is size(x8)? 2. Why don't you tell us what you think the names of the different parameters...

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Doubt NarX network and its implementation to meet future value
Future values are NOT intoduced. PREDICTIONS of future values are introduced. Understand the difference now? Hope this ...

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First Neural Network Using XOR
I have many posts on the NEWSGROUP, ANSWERS and comp.ai.neural-nets re XOR. Most can be retreived by searching on greg xor ...

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About Neural Network..... How to train Neural Network?
The I input features of the N = N0+N1 point class mixture are put in the same input matrix [ I N ] = size(input) For c =2...

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Precision network analysis NarX
*1. Use original trn/val/tst data and 'divideblock' to create and evaluate the open loop net.* *2. If val and tst performance...

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neural network test with a new data set
I want to forecast outdoor air temperature with input set(ground temp, cloud, relative humidity). The training/validation/testin...

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In the processing of our project they had added and remaved noise, does anyone know why this was done?
It is obviously a way to generate, from one ideal image, many reasonable approximations of real world data that have passed thr...

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Training NARX open loop but testing closed loop
%% Training NARX open loop but testing closed loop %% Comment by esra on 20 Feb 2013 at 10:47 % 1. I checked the autocorre...

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How can i improve the performance of a closed loop NARX neural network?
FRANCISCO on 17 Feb 2013 at 17:09 % I've been testing my code in pollution_dataset with indications dao me % and I have se...

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How can i improve the performance of a closed loop NARX neural network?
I have run ramin's 11 Feb 2013 at 13:13 timedelaynet code , with modifications, on the simpleseries_dataset using the same i...

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How can Backpropagation neural network could be used to solve higher order non-linear system and to make it online?
You have 5 input variables and 1 output variable. Please explain what you mean by "I have sample of remotely sensed data o...

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Training NARX open loop but testing closed loop
% 1. The data is an hourly data so significant correlation is in 24 hours, for the exogenous variables I just want to infeed ex...

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how can i choose the parameters of my network?
close all, clear all, clc x0 = [ -1 1 -1 1 -1 1 -1 1; -1 -1 1 1 -1 -1 1 1; -1 -1 -1 -1 1 1 1 1] x4 =[ 9 6 4 3 8 1 3 4] ...

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