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Neural Network: what does mean when the R-value is close to 1, but MSE (mean squared error) is large?
R^2 = 1 - MSE/mean(var(target',1)) If the R value is large, then the MSE value is much smaller than the mean target varia...

10 years ago | 1

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How can I correctly calculate the outputs of the hidden layers in a neural network?
You did not take into consideration the default normalization of the input and target as well as the default denormalization of ...

10 years ago | 0

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Narx delays problem & multistep ahead predictions
The version of the code you are using is both dated and error prone. Check both the NEWSGROUP and ANSWERS for the latest versio...

10 years ago | 0

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neural network problem, denormalize and new data simulate
Searching ANSWERS using B2 + LW * tanh (B1 + IW * X) yields 28 hits. Searching the NEWSGROUP probably yields more than t...

10 years ago | 0

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Neural Network - net.divideFcn = 'divideind'
Yes. However, use [ 1:4, 10:20] *Thank you for formally accepting my answer* Greg

10 years ago | 0

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How to reproduce exact results of a patternnet network using feedforwardnet network.
Why didn't you just make a simple search on patternnet feedforwardnet and find http://www.mathworks.com/matlabcentral...

10 years ago | 0

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Answered
How to create data set in neural networks for matlab2013a?
The obvious thing to do is search the NEWSGROUP and ANSWERS using the search words character recognition neural or even ...

10 years ago | 0

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I need help for determine significant feedbackDelays hiddenLayerSize by using NARNET
Search the NEWSGROUP and ANSWERS using NARNET NNCORR Hope this helps. *Thank you for formally accepting my answer* ...

10 years ago | 0

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How can i put the conditional statement ( If-Then-else) on the specific elements (Rows/columns) of a matrix in Matlab Using Neural Network Tool?
If you have 4 classes, your target matrix columns should be columns of eye(4). The relationship between class indices 1:4 and th...

10 years ago | 0

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Which part of Neural Network Dynamic time series tool box does normalizing and denormalizing of data? I mean in advanced script.
Normalization denormalization are done automatically in train. Hope this helps. *Thank you for formally accepting my answe...

10 years ago | 0

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Answered
averaging ROC curve for neural networks after some iterations
There is nothing meaningful in averaging ROC curves obtained from different stages in training. Hope this helps. *Thank yo...

10 years ago | 0

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I need to know the data used for training, validation and test in neural network
[ net tr y e ] = train(net, x, t); % y = net(x); e = t-y: tr = tr % The training record will reveal the training informatio...

10 years ago | 0

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Answered
R^2 for comparing the results of measured vs. predicted (non-linear model) values
Yes. Search the NEWSGROUP and ANSWERS with greg and one of Rsq R2 R2a R2trn R2trna R2val R2tst Hope this helps. *Thank...

10 years ago | 1

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artificial neural network question
For most of the training algorithms, scaling is an automatic default. Which algorithm are you using? Classification/pattern-reco...

10 years ago | 0

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Denormalization output neural network
SEARCH THE NEWSGROUP GREG ANALYTIC TUTORIAL Hope this helps. *Thank you for formally accepting my answer* Greg

10 years ago | 0

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how can find the optimal delays and number of hidden nodes in narnet for forecasting task?
I have many posts regarding this. Search both the NEWSGROUP and ANSWERS using subsets of the following search words greg ...

10 years ago | 0

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How can I train a deffrential equation of a variable input sys. with neural network that the input ,u, variate between 0:320 and the equation is : 1/120*(u-BET)=dBET. where BET=output , dBET=time Derivative of BET.
http://www.mathworks.com/matlabcentral/newsreader/view_thread/152345#938671

10 years ago | 0

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how to getting started with neural network?
Search the NEWSGROUP and ANSWERS using greg timedelaynet tutorial greg narnet tutorial greg narxnet tutorial It m...

10 years ago | 0

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Using Neural Network for data interpolation
Use the command line approach help FITNET doc FITNET Search the NEWSGROUP and ANSWERS using subsets of greg fitne...

10 years ago | 0

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Extract the equation of the neural network
There are 7 basic NNs in the NN Toolbox. Although they all have default configurations, very often modifications are used. I don...

10 years ago | 2

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Can I initialize feedforward net with 'midpoint'?
1. It doesn't matter how MATLAB initializes your net. You can always override the initialization using help setwb doc set...

10 years ago | 0

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applying k-fold with Artificial Neural Network
Search BOTH the NEWSGROUP and ANSWERS using greg cross validation greg crossvalidation greg cross-validation Check th...

10 years ago | 0

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NARnet Closed loop prediction results not good
I haven't looked at your code because you haven't looked at my previous posts regarding the transition from openloop to closeloo...

10 years ago | 0

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Recognize overfitting in retraining
Recognize overfitting in retraining Asked by Federico Ambrogio on 25 Sep 2015 at 9:47 I wrote the following code, inspired of th...

10 years ago | 0

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Regression Plot
No mystery. The training algorithm tries to minimize the error on the training subset. That is why the training error is, mo...

10 years ago | 0

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Artificial neural network - weights & biases
1. newff automatically normalizes F and T to [-1,1] and then unnormalizes the net output to obtain Tnet 2. The default trans...

10 years ago | 2

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Answered
Neural Networks extrapolation (using closed network - multistep prediction) can not even predict a line ?
Since the target is a straight line, no hidden layer is used. (In general, I would find the minimum number of hidden nodes...

10 years ago | 0

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Answered
Neural Networks extrapolation (using closed network - multistep prediction) can not even predict a line ?
1. You do not need a hidden layer for a straight line. Therefore, you are overfitting. It is good practice to try to minimize t...

10 years ago | 0

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how to build data set in neural network designing?
[ I N ] = size(input) [ O N ] = size(target) Hope this helps. *Thank you for formally accepting my answer* Greg

10 years ago | 0

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neural network, narxnet, multi-step prediction
SURPRISE!!! ... IT TURNS OUT THAT GOOD CL PREDICTION IS OBTAINABLE WITH JUST THE INPUT AND ZERO INITIAL CONDITIONS! THE ONLY DIF...

10 years ago | 2

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