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Matlab/simulink error (Mismatched varying and fixed sizes indicate a probable run-time error.)
The command whos will show the dimensions of all quantities To multiply two column vectors with the same dimensions ...

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Deciding number of epochs for pattern recognition
1. Use as many default values as possible. 2. To minimize the number of hidden nodes, H, outer loop over H = 0:dH:Hmax and i...

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Neural Network Plotting Confusion Matrix
Click on the plotconfusion button in the nntraintool window. You have specified many net properties that are already defaults...

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How can I generate the weights and bias values after training a network?
1. Single vector form wb = getwb(net) % WARNING: The syntax in help getwb and doc getwb are INCORRECT !! 2. Multiple ...

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How can I use neural network for multi step ahead prediction
Increase the number of feedback delays. Hope this helps *Thank you for formally accepting my answer* Greg

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ow to use nprtool (neural pattern recognition tool)?
Inputs are columns, not rows. *Thank you for formally accepting my answer* Greg

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having neural networks as arguments
A function has access to external functions only through the parameter list or if they are declared global. In spite of your pre...

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Neural Network error in train
NEWFF interprets R as the limits of a two dimensional input; NOT an output. use minmax(I) instead of R. *Thank you for for...

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Performance estimate of pattern recognition tool
If you are using patternnet and/or nprtool the most important results are the error rates for the different classes. These are d...

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Neural network with large data set and many nodes
[ I N ] = size(input) [ O N ] = size(target) if net.divideFcn = 'dividetrain'; %(Ntrn/Nval/Ntst = N/0/0) Ntrneq = ...

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I adapt neural network instead of train. Any one knows how I can see which stopping criteria causes to stop the network ? (nntraintool command does not work!)
If you use the command [ net tr Y E Xf Af ] = train(net, x, t, Xi, Ai, EW); tr = tr yields training information on ...

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Groups of observations for Neural Network?
Input and output vector dimensions are fixed. If you wish to have variable dimensions, the only way I can think of effectivel...

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Groups of observations for Neural Network?
To use the NNTBX, variables are rows and observations are columns. You train the net by giving it pairs of input vectors and ...

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neural network back propagation problem
% Ntrn/Nval/Ntest = 7/0/1 close all, clear all, clc tic ptrn = [0 0 0 0 1 1 1 ; 0 0 1 1 0 0 1 ; 0 1 0 1 0 1 0 ] t...

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What is the difference between training, adapting, and learning in the neural network?
NN learning is the process of modifying net parameters to try to achieve a goal. I interpret adaptation as learning from a se...

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neural network back propagation problem
1. You mean a net with 2 *HIDDEN* layers. The unmodified term "layers" means hidden *AND* output layers. In the last 30 yea...

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defining divideblock function for feedforward net
The default 'dividerand' exists at net creation: net = fitnet(H) Specifying 'divideblock' then replaces it.

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Can patternnet have no hidden layers?
net = patternnet([]); Similarly for all other net creation functions. Hope this helps. *Thank you for formally acceptin...

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Issues with trainbr in pattternnet
The default for patternnet is trainscg. Why did you change it? With patternnet make sure your target matrix only contains un...

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change patternnet transfer function
'tansig' is the correct default transfer function for both hidden and output layers in patternnet because the default normalizat...

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How to load own data set into neural network?
Whoops! I made a mistake. If you type the command tr = tr you will see that tr.perf, tr.vperf and tr.tperf are the indivi...

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neural network back propagation problem
Why don't you just use the code in help newff? Note that you have a 3-15-15-2 node topology with Nw = (3+1)*15+(15+1)*15+...

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How to load own data set into neural network?
Exactly as indicated in help patternnet and doc patternnet where x = yourinput; t = yourtarget; % target col...

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Size and alignment of a digit in an image for neural network training
The input to the net from a single image is just a column vector of numbers of dimension I obtained by feature extraction. The...

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What is the meaning of range in linear neural network newlin?
According to both the help newlin and doc newlin documentation in 2011b NNET 7.0.2: >> help newlin newlin Create a linear ...

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(NN Toolbox) Special recurrent network training regime with overshooting
What you ask makes no sense to me. If you want a net eventually predicts without an exogeneous input, design an openloop narn...

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Preparing data for time series forecasting using NAR networks
What you have done so far is correct. However, my advice is whenever you design times series, kill the default random data...

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Matlab - Neural Network Toolbox - Help Needed
Any numerical information that is correlated with the output can be used as an input. If you have any doubts, you could desig...

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Future value prediction with neural network method and right input and target format data
help closeloop doc closeloop help removedelay doc removedelay Also search for these terms in NEWSGROUP and ANSWERS. ...

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What is the standard method or requirement to add new algorithm in Matlab for Neural Network Training
It does something important that the others don't. It does what others may do but it does it better (faster, easier, etc). ...

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