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2D array as input to neural network
Burp...(coke, not coffee). The input matrix must contain N I-dimensional column vectors [ I N ] = size(input) % [ 224 25 ...

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how can i choose the parameters of my network?
OK. Let' try this: You have 8 4-dimensional input vectors of the form input = [ x1 x2 x3,x4 x5 x6 x7 x8 ; y1 y2 y3 y4 y5 ...

más de 13 años hace | 1

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Why the mean square error value is changing for different training functions ?
If the problem is not a trivial one do not expect the weights and MSEs to be the same. To make a valid comparison you have to...

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NN validation and data partition
1 Choose candidate values for Hopt, the optimal No. of hidden nodes by using ALL of the data and looping over Ntrials candidates...

más de 13 años hace | 0

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Kindly help me to get out of this. Regarding Neural network
xn=x'; %size of x is: 1344 x 1218 yn=y; %size of y is: 1 x 1218 clear x y load inriapos1new x=xp'; %size of xp is 13...

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how can i choose the parameters of my network?
I was confused. I thought that the eight corners of the 3D cube either represented the domain of x or the domain of x was the in...

más de 13 años hace | 1

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Training NARX open loop but testing closed loop
1. The choice of delays is strange. Can you explain? At what lags are the significant auto and cross correlations? 2. You hav...

más de 13 años hace | 0

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How to train feedforward network to solve XOR function
1.[ I N ] = size(x) % [ 2 4 ] [ O N ] = size(t) % [ 1 4 ] Neq = prod(size(t) % 4 = No. of training equations 2....

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how can i choose the parameters of my network?
The example below demonstrates how I design NNs. Quite a few of the steps are for understanding the data and the design procedur...

más de 13 años hace | 3

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how can i choose the parameters of my network?
This is not the type of problem for a neural network. For the typical NN design, an approximation function of the type y = b...

más de 13 años hace | 2

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How can i improve the performance of a closed loop NARX neural network?
NARXNET is the most general timeseries design function. TIMEDELAYNET and NARNET are special cases. narxnet(ID,[],H) should ...

más de 13 años hace | 0

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neural network input target data format, Vertical or Horizontal vector within cell array?
It would be helpful to the reader (especially the older ones) if you would use the notation 0.69 instead of just .69. All inp...

más de 13 años hace | 0

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Improve network generalization NarX
I just posted an answer to your question on the NEWSGROUP http://groups.google.com/group/comp.soft-sys.matlab/browse_frm/thre...

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Respondida
Kindly help me to get out of this. Regarding Neural network
It looks like you have an I-H-O patternnet classifier with [ I N ] = size(input) = [ 1134 2344] % 2344=1218+1126 [ O N ] =...

más de 13 años hace | 0

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Design of radial basis probabilistic neural network
I'm not familiar with that method. The only MATLAB option is NEWRB. If you want to use it, see my posts in MATLAB NEWSREADER. ...

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How can i improve the performance of a closed loop NARX neural network?
Try narxnet. Use the autocorrelation of the target and the crosscorrelation of input and target to find the lags that are statis...

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Pregunta

How do I recover accidentally erased portions of an answer or comment?
Not sure what I'm doing to cause the disappearance. However it is happening often enough to make me want to ...aaarrrggghhh T...

más de 13 años hace | 2 respuestas | 2

2

respuestas

Respondida
using timedelaynet neural network to predict values of time series
You only have one time series. Therefore you should be using narnet; not timedelaynet. help/doc narnet help/doc prepare...

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How do I prepare input matrix & target matrix for Neural Networks?
>Is a 4x2000 matrix (4 is no of features & 2000 is total no of samples collected), a correct way of preparing input matrix? ...

más de 13 años hace | 1

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How to model one-step-ahead prediction with delays from 1 to 2 in neural network
Think of it as target ( i ) = fct ( input( i-3 : i-1)) ID = 1:3; H = 10 ftdnn_net = timedelaynet( ID, H ); p = input...

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Neural Network toolbox - transferFcn and transferParam
There is absolutely no reason to use parameters in the transfer function. Training will vary the weights to minimize the erro...

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what is EPOCH in neural network
An epoch is a measure of the number of times all of the training vectors are used once to update the weights. For batch train...

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use of LVQ paradigm in neural net
I'm pretty sure it should work. What distance measure are you using? Box? Manhattan? Link? Do all of the vectors the ...

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How can i improve the performance of a closed loop NARX neural network?
See the answer I just posted to FRANCISCO re his implemetation. Like him, don't expect to get a good answer to your question wi...

más de 13 años hace | 0

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Question about preparing data for closed loop NarX
0. I USED YOUR CODE ON THE POLLUTION_DATASET 1. VARIABLES ON DIFFERENT SCALES;. SHOULD NORMALIZE 2. PLOT INPUT AND OUP...

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neural network performance graph
You can also recreate the training graph if you have saved the training history tr obtained from [net tr ]= train(net,x,t);...

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data preparation and format for NARX
I think you are making the problem more complicated than it is. Price is always positive. So what does negative=find(DailyRe...

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data preparation and format for NARX
Vector indices increase with time. Plot the target series t(i) = (price(i)-price(i-1))/price(i-1) % Relative price change fo...

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Index exceeds matrix dimensions?
This can be cleared up very quickly by answering the following questions What physical quantities do the vectors in xn and yn...

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Possibilites about obtaining mathematical equation from neural network toolbox after training?
Standard Equations for a single hidden layer feedforward multilayer perceptron: h = tansig( IW*x + b1 ); % -1 < h <1 Reg...

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