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Neural network code gives wrong output.!
1. What version of MATLAB do you have? 2. Why are you using the extremely obsolete function NEWFF? 3. Do you have t...

9 years ago | 0

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Answered
NARNET - Qualitative Data & Time Prediction
Is this 1 type of event that occurs in all of the countries? Separate the series for each country. Obtain the auto and cro...

9 years ago | 0

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Narxnet with Many timesteps to one time step
1. Plot subsampled series so that you can see what range of subsampling rates makes sense. 2. Plot the autocorrelation functi...

9 years ago | 1

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Answered
Can Neural Network Toolbox's time series model use data that are observed with different time-lags?
1. There is no problem if you can interpolate the series at equidistant points. 2. Correlated inputs are not a problem unless...

9 years ago | 0

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How can I Use my Datas in Genetic Algorithm Tool?
I cannot help with the ga tool. However, I have several posts regarding NN design using ga. Search both NEWSGROUP and ANS...

9 years ago | 0

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Answered
Which's the better classifier to use for skin issues identification using matlab
I don't know which would be best for you. However, NNs are universal approximators and I would be surprised if any of the others...

9 years ago | 0

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Answered
Analytic input output equation of NARNET
No, it is a feedback network whos only input signals are delayed previous outputs. There is no external applied input. x(...

9 years ago | 1

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Answered
getting very high MSE and an R almost equal to 1!!
Your R looks pretty good. Therefore your MSE is relatively low compared to the average target variance because R = sqrt( 1 -...

9 years ago | 1

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Answered
How to create a target data set based on input data set in a neural network?
If the input data set is x(n), ( n = 1:N ) the output data set could be y(n) = f( x(n), x(n-1), ... x(n-m) ), for n > m...

9 years ago | 0

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Answered
Obtaining neural network formula
What are b, IW and LW? Given those values and the fact that x and t are both scaled to [-1 1 ] before training and y is resca...

9 years ago | 0

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Is there any way to have the size of Outputs the same as the Inputs and different form Target datasize in neural network?
No. Since the net is designed to create outputs that are as close to the targets as possible, What you are suggesting does...

9 years ago | 0

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How to choose the most significant variables from possible 57 variables for neural network input?
Backward stepwise (NOT stagewise) search has worked well for me in the task of classifying stars using stellar spectra( Backward...

9 years ago | 0

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Multiple-inputn Recurrent- Elman Neural Network
It doesn't make any sense to use a timeseries net for classification. Use patternnet: help patternnet doc patternnet ...

9 years ago | 0

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What happend if the validation performance was greater than the test performance?
There is no rule governing the order of the val and tst performances. That is why it is worthwhile to design a number of nets di...

9 years ago | 1

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Answered
How to transfer neural network weights to my own code
MATLAB's default normalization range is [ -1 1 ]. Hope this helps. *Thank you for formally accepting my answer* Greg ...

9 years ago | 0

Question

HOW TO UPDATE NEWREADER FILES ?
When I open the NEWSREADER, the most recent file is 8 Feb 2017 Building Rapid-Accelerator Target w/ debug info Patrick Doe...

9 years ago | 1 answer | 0

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feedforwardne not enough input arguments error
Your code does not look familiar. Why not just try the code in the help and doc documentation of FITNET (regression/curvefitting...

9 years ago | 0

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why we give training and testing samples in same data set on neural network?
Training, validation and testing are performed automatically. See the help and doc documentation examples for FITNET (regression...

9 years ago | 0

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how to train and testing data leaf diseases identification using classify pattern recoginitaion neural network?
For classification see the documentation for PATTERNNET: help patternnet and doc patternnet For examples search the NE...

9 years ago | 0

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How to use non-integer(decimal) values as target values in neural network?
For N pairs of I-dimensional "I"nputs and corresponding O-dimensional "O"utput targets, size(input) = [ I N ] size(targe...

9 years ago | 0

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Answered
What is the default transfer function for fitnet?
tansig (AKA tanh) *Thank you for formally accepting my answer* Greg

9 years ago | 1

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how to implement the classification using feed forward neural network
1. See the classification documentation help patternnet and doc patternnet 2. Search the NEWSREADER using patt...

9 years ago | 0

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incorrect or unexpected brackets
I don't think a. Square brackets are allowed on the RHS b. Round brackets are allowed on the LHS Hope this helps. ...

9 years ago | 1

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Predicting time-series Y (t+1) with Neural Networks
You have no proof that the Open Loop (OL) training is successful. Often it is not because of insufficient values for 1. in...

9 years ago | 0

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How to predict y-values with another set of given x-values in matlab 2013a neural networks time series tool, after i have trained my model?
y = net(x,xi,ai)); *Thamk you for formally accepting my answer* Greg

9 years ago | 1

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Answered
what is x,t and y variables in this code?
x is the input matrix with N I-dimensional input columns t is the output target matrix with N O-dimensional output target col...

9 years ago | 3

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How is the performance function evaluated for a closed loop NARX network ?. Is the same training set used in every epoch of the training ?
Search both NEWREADER ad ANSWERS using greg narx greg narxnet Hope this helps. *Thank you for formally accepting thi...

9 years ago | 0

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How to know the weight in Artificial neural network with hidden node of 15?
1. Read the online documentation a. Regression or curvefitting help fitnet and doc fitnet b. Classification or ...

9 years ago | 0

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Answered
How to choose Neural Network Training values
Always start with as many defaults as possible. Typically, you only have to MINIMIZE THE NUMBER OF HIDDEN NODES with 10 trials o...

9 years ago | 0

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Answered
How can I edit the number of hidden layer nodes?
Nghia: net1 = network(1,2,[1;0],[1; 0],[0 0; 1 0],[0 1]) ; view(net1) % 1. The topology of Nghia's net1 has 1 hidden la...

9 years ago | 1