Answered
Closedloop Recurrent Neural Network problem
I know this is not a good answer, but I and others are also having closeloop performance problems. So far I haven't found out wh...

13 years ago | 0

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How to further debug this code?
1. If the number of unknowns is greater than the number of equations, then a solution is not unique (How many solutions to x1 ...

13 years ago | 2

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Answered
Problem with network obtain lagged values NarX
Please run your code on a nndataset so we can compare.

13 years ago | 0

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Answered
can images be given as inputs to neural network GUI toolbox?
1. Use feature extraction to reduce the number of pixels 2. Columnize the resulting image into a vector using (:) Hope thi...

13 years ago | 0

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Answered
serial classification of timeseries "phases" with neural network
Inputs to both both static and dynamic nets have a fixed number of inputs. There may be problems if the significant temporal len...

13 years ago | 0

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Answered
Passing New Data to Neural Net
Upon rereading your post, I realized that this is NOT A TIMESERIES PROBLEM UNLESS your successive inputs are serially correlate...

13 years ago | 0

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This is a question about time series forecasting
1. Why are you using elmannet instead of narnet? Didn't you read the warning and recommendation in the elmannet documentation? ...

13 years ago | 0

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Passing New Data to Neural Net
Which of the nndatasets should we use with the code you posted? help nndatasets

13 years ago | 0

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Delayed outputs with respect to the original NarX
Please be more specific. Use one of MATLABs nndatasets and post relevant code.

13 years ago | 0

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serial classification of timeseries "phases" with neural network
1. Obtain N training pairs of I-dimensional inputs and corresponding O-dimensional targets 2. If the task is classification b...

13 years ago | 0

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How can i optimise weights for BPN using genetic algorithm?
The value MSE = 0.0054 means absolutely nothing to me because I don't know the scale of the target data. On the other hand, ...

13 years ago | 0

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Answered
How can i optimise weights for BPN using genetic algorithm?
I have read that ... Where? ... The internet? Please clarify. Is your prediction problem static (simultaneous input and outpu...

13 years ago | 0

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How can I simulate a NARX neural network after being trained and tested?
% How can I simulate a NARX neural network after being trained and tested? 1. You have not suggested a MATLAB nndataset to us...

13 years ago | 2

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Problem with network NarX need help for final step
If you look at the significant lags of the output autocorrelation function and the output/input crosscorrelation function, you c...

13 years ago | 0

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Answered
how to do comparison on neural network output
>> net1 = fitnet;net2=fitnet;isequal(net1,net2) ans = 1 Hope this helps. *Thank you for formally accepting my a...

13 years ago | 1

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Answered
how to get the Hidden layer output???
y = b2 + LW*h % PURELIN OUTPUT h = LW\(y-b2) % Hidden Layer output However, the solution is not unique if null(LW) is...

13 years ago | 0

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Answered
Problem with network NarX need help for final step
If you want to predict exactly 10 days ahead, if possible, design a net that will do that. Iterating a net that will predict ...

13 years ago | 0

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save the neural network output "net" to matfile
I don't know why you are using the term 'features' for describing a net. Nets can be thought of as structures with different siz...

13 years ago | 1

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Neural Network NAR-based time-series prediction starts failing after several timesteps
I took a look at the openloop problem N = 1000 dx = 0.1 x = dx*(0:N-1); t = cos(x); [ I N ] = size(x) [O N ] =...

13 years ago | 0

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Multi Input Neural Network with delayed target input.
To be consistent with MATLAB notation, rename the target t and the output y. What are the significant correlation delays in t...

13 years ago | 0

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Answered
Neural Network NAR-based time-series prediction starts failing after several timesteps
After a not so quick look I have the following comments: 1. cos(t) has a period of 2*pi and satisfies a 2nd order homogeneous...

13 years ago | 1

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Answered
problem with closeloop narx
You can iterate as long as you have exogeneous inputs. If your last exogeneous input value is at t = tf, your last predicted out...

13 years ago | 0

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Change Transfer Function on a Neural Network
The training logic for NEWRB is quite different from the other nets. I doubt very much if it is possible to do what you propose....

13 years ago | 0

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RBF Neural networks
http://www.mathworks.com/matlabcentral/newsreader/view_thread/151286#888395

13 years ago | 1

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How can I select the centers of the first hidden layer of nn with the orthogonal least squares algorithm????
MATLAB's NEWRB neither 1. Allows a specified starting configuration 2. Allows RBFs with different widths. For either, ...

13 years ago | 0

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Answered
Problem in training the feed-forward network.
load input load output p=input'; t=output'; [ I N } = size(p) % [ 1 3988 ] [ O N } = size(t) % [ 1 3988 ]...

13 years ago | 0

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Answered
labeling target in neural network in matlab
Your basic problem is input variable subset selection. Say from 600 to 39. However, if you design 40 classifiers, you have 40 d...

13 years ago | 0

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How to write custom performance function for neural network in MATLAB 2012b (neural network toolbox 8.0)
I think we should start where you left off. So, post your code. With relevant comments. Which entropy function? Exclusive c...

13 years ago | 0

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Answered
labeling target in neural network in matlab
You have 40 subjects. Each subject is a class. You have 5 I0-dimensional input vectors (I0 = 600) for each class. 1. If the ...

13 years ago | 0

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Answered
input of neural network
If you have N I-dimensional input vectors and the corresponding N O-dimensional output vectors, the input and output matrices ...

13 years ago | 0

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