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cannot get good result by newff
See my answer in the newsgroup. Greg

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ANN
If you plot output vs each of the inputs you will see that each plot consists of 3 vertical lines. The best model I can think ...

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How to stop changing weights in neural network?
The whole purpose of training is to change weights from assigned inital values to final values that correspond to the minimu...

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Focused Time-Delay Neural Network (newfftd)
I believe that to be an error. See my corresponding posts by searching with the keywords heath newfftd laser Hopethis h...

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net to struct and vice versa.
The net is a structure. Therefore, there may not be a problem. Hope this helps. Greg

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How to save the final value of epoch?
Nepochs = tr.epochs(end); Hope this helps. Greg

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neural network
>> lookfor prediction applin1 - Linear Prediction Design applin2 - Adaptive Linear...

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protein sequence training
In general, the number of elements in the input vector, I, and the number of elements in the corresponding output vector, O, are...

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The meaning of Maximum MU reached
help trainbr doc trainbr Hope this helps. Greg

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what happened to 'dividenull" in the neural network toolbox?
net.divideFcn = 'dividetrain'; help dividetrain doc dividetrain Hope this helps Greg

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neural network algorithm
Provided there is a deterministic trend to the input/output relationship, all you need is a sufficient number of input/output pa...

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Help meeeee.....through this prblm.
The syntax to create a feedforward network with : - 3 unit of inputs - hidden1 : 3 nodes - hidden2 : 2 nodes - 2 unit of o...

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create target for neural network
remo asked on 12 Feb 2012 at 12:29 >I had extracted feature vector of an image and saved it in a excel document. feature ve...

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Test and validation data coming null
help dividerand doc dividerand [trnind,valind,tstind] = dividerand(50,0.6,0.2,0.2) Hope this helps. Greg

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Changing the output of a neural network
>> t = [ 0 0 0 0 % target 0 1 1 0 0 0 0 0 1 0 0 1] y = [ 0.1 0 0.4 0.3 % outp...

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GA-Neural Network Hybridization
I don't see how they can be combined to an advantage. Just write the I/O relationship for the net in terms of input, weigh...

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how to get the transfer function
The terminology "Transfer Function" is only applicable to the spectral analysis of linear systems. Clearly it is inappropriate f...

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Neural Network is giving incorrect results after 99.4 % training , Why?
Ali on 31 Jan 2012 at 10:13 Thank You Ok now i have excluded the irrelevant information I' m using Matlab 7.9(R2009b...

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debug Mode when train
[imagefile] = imread([direktori,namafile],'bmp'); filegambar = im2bw(imagefile,0.5); imagefile = bwmorph(~filegamb...

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newrbe matlab2007b vs 2010a
The call to newrbe should be of the form scene_RBNN = newrbe(input_array,target_array,spread_const); Hope this helps. ...

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use an arbitrary error in training procedure of a neural network
Go back to the derivation of the change in weights for the output net(x) and modify it for whichever topology you are contempl...

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Neural Network : Poor Result
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% PTRN = [1 2 3 4 5 0 1 2 5; 1 2 3 4 5 1 1 1 1] TTRN = [2 4 6 8 10 0 2 3 6] PTST = ...

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Neural Network Output :Scaling the output range.
Hello Greg, Thanks again for answering the question. For my case, no rigid bound, 1. INCORRECT. ALL 3 VARIABLES ARE BOUND...

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Neural Network is giving incorrect results after 99.4 % training , Why?
e=0.2; % initialize error value UNNECCESARY net=newff(minmax(input),Tar,[2 5],{'tansig','logsig'},'traingdx'); IN...

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need help with neural network
If you have source access try this: type mse type postreg Hope this helps. Greg

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Neural Network Output :Scaling the output range.
If the target has rigid bounds, scale the data to either [0,1] or [-1,1] and use either LOGSIG or TANSIG, respectively. O...

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Neural Networks Algorithm for predicting the fourth word in a sentence
>I have this assignment with where we're required to analyze a learning algorithm for predicting the fourth word in a sentence. ...

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Back propagation algorithm of Neural Network : XOR training
It is well known that successful deterministic training depends on a lucky choice of initial weights. The most common approach...

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Back propagation algorithm of Neural Network : XOR training
close all, clear all, clc x = [0 0 1 1; 0 1 0 1] t = [0 1 1 0] [ni N] = size(x) [no N] = size(t) nh = 2...

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Changing the format of output of data from a neural network
For a net with I-H-O node topology, an input matrix of N I-dimensional input column vectors has size(input) = [ I N ] . The comm...

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