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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 ...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 1

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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 ...

etwa 13 Jahre vor | 0

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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

etwa 13 Jahre vor | 0

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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

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 2

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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 = ...

etwa 13 Jahre vor | 0

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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 ...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 0

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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 ...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 2

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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...

etwa 13 Jahre vor | 0

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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.

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 1

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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...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 1

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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+...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 1

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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...

etwa 13 Jahre vor | 0

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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 ...

etwa 13 Jahre vor | 1

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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...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 0

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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...

etwa 13 Jahre vor | 0

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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. ...

etwa 13 Jahre vor | 0

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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). ...

etwa 13 Jahre vor | 0

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