Answered
What does Xs matrix in time delay network contain?
If your input vector is X, the input delay vector of nonnegative ordered integers is ID, and d = max(ID) then Xs = ...

12 years ago | 1

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Answered
Can any body help me to write electricity price forecasting model in neutral network?
help narxnet doc narxnet Search the NEWSGROUP and ANSWERS using narxnet greg narxnet Practice on MATLAB datasets...

12 years ago | 1

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using neural network (NARX) to do prediction
I have posted many solutions to narxnet problems. Search the NEWSGROUP and ANSWERS using greg narxnet and greg closel...

12 years ago | 0

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Problem with exact replication of maglev narx closed-loop output
Closed loop designs have the irritating property of propagating errors. Typically, just closing an openloop design is not suf...

12 years ago | 0

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Run/Display Neural Network on Test data after training
The command view(net) just yields a picture of the net. If you want to view results either print them out or plot them. If...

12 years ago | 1

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Answered
Predict futures values in ntstool (NAR)
1. The best way to get help is to run your code on the command line with one of the MATLAB example data sets. See help na...

12 years ago | 0

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Answered
How to determine the neuron in LVQ
[ I N ] = size(input) % [15 60] [ O N ] = size(target) % [ 3 60 ] For lvqnet net.divideFcn = ''. Therefore, Ntrn = N ...

12 years ago | 1

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Answered
Weight initialization in patternnet
Validation data cannot be separated from training data total = design + test design = train + validate The validation s...

12 years ago | 1

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Increasing the number of epochs to reach the performance goal
[ I N ] = size(input) % [ 85 130 ] [ O N ] = size(output) % [ 26 130 ] Ntrn = N - 2*round(0.15*N)% 90 Ntrneq = Ntrn*O...

12 years ago | 1

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Answered
Weight initialization in patternnet
Search using greg cross validation Read 29 Sep 2013 NEURAL NET CROSSVALIDATION DESIGN EXAMPLE Greg Heath neural networ...

12 years ago | 1

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problem in using inverse tansig in place of tansig in neural network
I am confused z = tansig(x) = tanh(x) = ( exp(x)-exp(-x) ) / ( exp(x) + exp(-x) ) x = atanh(z) = 0.5 * log( (1 + z) / ( ...

12 years ago | 1

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Answered
how does neural network respond for 2 inputs in simulink?
I don't know which neural network you are using. Typically training occurs with N pairs of I-dimensional input vectors and cor...

12 years ago | 0

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Answered
How to use learning functions of neural network toolbox ?
According to both help learnh and doc learnh dW = learnh([],P,[],[],A,[],[],[],[],[],LP,[]) calculates dW ...

12 years ago | 0

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Answered
Specify input for NARX
Inputs are assumed to be matrices containing N I-dimensional vectors corresponding to N O-dimensional target/output vectors. ...

12 years ago | 0

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Why using fitnet is not giving 0.005 error with ENGINE Data set?
I don't have the slightest idea. It looks like the result of normalization. Contact MATLAB and find out who did it.

12 years ago | 1

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how to use neural network to classify different signs made with hands?(hand gesture recognition)
For N I-dimensional feature vectors from c classes [ I N ] = size(input) [ c N ] = size(target) where the columns of...

12 years ago | 1

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Answered
Why using fitnet is not giving 0.005 error with ENGINE Data set?
I generally consider a design successful if it can account for 99% of the mean target variance. The corresponding R^2 (Google Wi...

12 years ago | 2

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Answered
How to overcome poor prediction of neural network.
Use datadivision and as few hidden nodes as possible. Repeat multiple times to get a good set of random initial weights. What...

12 years ago | 0

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I need a starting point for choosing "spread" when using newrb()
If you standardize inputs (zscore or mapstd) the unity default is a good starting place. The best generalization performance...

12 years ago | 0

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Weight initialization in patternnet
1. Why in the world are you using two hidden layers when 1 is sufficient? 2. Why are you using configure? TRAIN automatically...

12 years ago | 2

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How to use Neural network to distinguish between noise and speech signals?
You have to train a classifier on a sufficient number of speech and noise examples. I recommend (1) a literature search (2) a...

12 years ago | 1

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Answered
How can I use Neural Networks to create several networks instead of creating one by one manually?
You can do it with nested for loops. Indexed nets should be stored in cells. However, it is not clear what the difference in inp...

12 years ago | 1

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Answered
Image Processing with Backpropagation algorithm
You need to search on image feature extraction.

12 years ago | 1

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Influence of input parameters in Neural networks
1. Minimize the number of hidden nodes that will yield the desired goal. 2. Compare the performance of the 6 nets that resu...

12 years ago | 1

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Answered
Probablity of outputs of binary classification in matlab
If you use columns of eye(2) for targets, the outputs will be consistent (i.e., as N-> inf) estimates of the input-conditional p...

12 years ago | 0

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Answered
Low performance of neural network using logsig for output layer
newpr is the version of newff that is to be used for classification; newfit is for regression. All three are obsolete (see th...

12 years ago | 0

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Neural network with softmax output function giving sum(output)~=1
There appears to be a bug in MATLAB's softmax. Before MATLAB introduced their version I coded my own. I lost it when my computer...

12 years ago | 0

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Answered
how to model second order diffrential equation using NN tool?
Transform to a difference equation and use one of the timeseries functions (timedelaynet, narnet or narxnet). Hope this help...

12 years ago | 0

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Answered
Increasing the number of epochs to reach the performance goal
One problem you have is that you are specifying the mse and mingrad goals without considering the scale of the target. I find th...

12 years ago | 1

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How to record the data of weights and bias after every training by using neural network toolbox?
Train in a loop of 1-epoch adjustments. Store the weights at the end of each pass.

12 years ago | 0

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