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

14 years ago | 0

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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 ...

14 years ago | 0

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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...

14 years ago | 0

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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...

14 years ago | 1

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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

14 years ago | 0

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

14 years ago | 1

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

14 years ago | 0

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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...

14 years ago | 0

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

14 years ago | 0

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

14 years ago | 0

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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...

14 years ago | 0

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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...

14 years ago | 0

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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...

14 years ago | 1

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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

14 years ago | 0

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Answered
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...

14 years ago | 0

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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...

14 years ago | 2

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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...

14 years ago | 0

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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...

14 years ago | 0

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

14 years ago | 0

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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. ...

14 years ago | 0

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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...

14 years ago | 1

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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 = ...

14 years ago | 0

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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...

14 years ago | 0

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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...

14 years ago | 0

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

14 years ago | 0

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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...

14 years ago | 0

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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. ...

14 years ago | 0

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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...

14 years ago | 0

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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...

14 years ago | 3

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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...

14 years ago | 0