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Neural net visualisation
The simplest solutions use integer weights, two hidden nodes with sign activation functions, purelin output activation functions...

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Data classification: Learning vector Quantization or two-layer feed-forward network???
LVQ is not self organizing. It is created using supervised learning. The FFMLP has a different topology and has been proven to b...

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Answered
More than one hidden layer
Dimitris used the older version of newff net = newff(minmax(p),[H1 H2 O],{'tansig' 'tansig' 'tansig'}); for a net with I-H...

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features selection problem..
What you are asking is not, in general, feasible. How many reference values are used for each decision? Assume there are ...

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Multiple output in TDNN (Time Delay Neural Network)
In the call to preparenets the input and output dimensions are automatically determined. Hope this helps. Greg

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problen in neural network
Please read the documentation and corresponding examples before asking elementary questions. Thank you. Greg P.S. If ...

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Weights during network training
You will have to loop over an inner one-epoch loop. Hope this helps. Greg

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plott the performance of the Neural Network
The training history is contained in the output structure tr. Use this to create your own plot. Hope this helps. Greg

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Value of Test error for nn
The output structure tr should contain that info ... [net tr ] = train(net,...); Hope this helps. Greg

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Neural network performance function, weighted sse, and false alarms
If you are designing a classifier with c classes, use training targets that are columns of eye(c). The input is assigned to the ...

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How to "retrain" Neural Networks?
Everytime you call newfit you create a new network with random initial weights. Therefore, try something like net = newfit...

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supervised training of SOM in MATLAB
The "SO" in SOM means "Self-Organizing" and refers to using the Kohonen algorithm for UNSUPERVISED clustering. Do not use the ac...

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how to set the number of hidden neurons in the neural network toolbox
This appears to be a classification problem; NOT a clustering problem. 1. 200 data points define a 199 dimensional space....

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Help capturing diagrams (printing) using Neural Network Toolbox
You have the option of modifying the source code or creating your own plots using tr. Hope this helps. Greg

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How to achieve good results in MLP
for i = 1: 6 T(i,1+9*(i-1):1+9*i) = ones(1,9); % vectorized version end You replaced Neq >> Nw with Neq = ...

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Answered
NN transfer function (tansig and purelin)
Several posters, including myself have been unable to reproduce outputs using the weights stored with the network. Hope th...

14 years ago | 1

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How to use new learning algorithm for training ANN other than predefined algorithms (like FFBP)
Yes. Yes. Hope this helps. Greg

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problem of using patternnet in Neural network toolbox
use the pattern recognition network (patternnet) to train a set of data, whose dimension is 7100 and there have 2000 data poin...

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Help using MSE or MAE
mae is the mean of the absolute values of the errors. If you use mae for learning, then tabulate mae. mse is the mean of...

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Sample Neural network code
I have posted many examles of code. Search comp.soft-sys.MATLAB using heath close clear newff Hope this helps.

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Neural Networks-- train function error Indexing cannot yield multiple results.
Cannot use train as a filename or variable. Hope this helps. Greg

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How to get answers for my unanswered questions?
Try the newsgroup. Hope this helps. Greg

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data filtering for clustering
No. You are designing a classifier to classify unknown data. If each class was processed individually for training, you w...

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Neural net visualisation
You can print the weights. However, it is generally impossible to understand the weights of a regression MLP for a mediu...

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neural network toolbox
I answered this in the Newsgroup: 3 min 26 sec. Greg

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Testing Neural Network on new data
Here is my code: >[Pr,Pc] = size(PP);% Pr=486, Pc=1200 Pr is probably much larger than necessary. Try input variable subse...

14 years ago | 1

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PCA matrix data compression help
For classification, choose the dimensions in the direction of greatest class separation. This is not guaranteed using PCA ...

14 years ago | 2

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obtaining accuracy using neural netowrk
This appears to be a list of inputs. What outputs do you want? To design a NN you need a large diverse sample of input/...

14 years ago | 0

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Picking an FFT length
Why not just overlay the times vs size plot for X = fft(randn(N,M)) when M = 1e4 N1 = 2.^(1:10) % blue and N2 = floor(...

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Answered
retrain neurons
You could try [net2 tr Y E] = train(net1,p2,t2); % Train for a new set % However, performance of net2 on p1 may be unsatis...

14 years ago | 1

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