Beantwortet
How to determine the best training examples from a dataset for NN training?
There is no standard approach. One of many approaches: 1. Standardize (zscore or mapstd) 2. Remove or modify outliers 3....

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Is it necessary to have equal number of samples(observations) belonging to the two classes for training an NN classifier for a two-class problem?
Hmm, the lengthy dissertation I wrote yesterday seems to have disappeared. I'm too lazy to go through that again. So, the short ...

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Discrete regression plot of neural networks in matlab
My understanding is that you have 600 examples with 31 continous inputs and 11 discrete outputs. Each discrete output has 3...

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Artificial neural network - weights & biases - prediction of output manually
99.9% of the time when the equation does not agree with the net output, the input normalization and/or the output de-normalizati...

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Discrete regression plot of neural networks in matlab
Scale all 11 targets to 3 discrete values -1,0,1 Use purelin and round the outputs Hope this helps. *Thank you for f...

mehr als 11 Jahre vor | 1

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NAR neural network multi step prediction
I have just posted the answer in the NEWSGROUP. NARNET TUTORIAL ... Hope it helps. *Thank you for formerly accepting ...

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How to randomly select matrices from within a cell array for neural network training?
Convert cells to an I x N input matrix with N I-dimensional input vectors and an O x N output matrix with N corresponding O-dime...

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verification neural network application
There is no function for doing this for a very good reason: It is a pretty useless exercise. More important investigations: ...

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about Neural Network
You are slightly confused. T is a target used for training. It is not a prediction. It is what you want the output Y to be when ...

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NARX closed loop network & removedelay: What setting for inputDelays and feedbackDelays?
net = narxnet(ID,FD) ID = [ id1, id2,... idmax ]: NONNEGATIVE increasing (not necessarily consecutive) integers FD = [ f...

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How does removedelay work in NARXNET?
When creating timedelaynet(ID), narnet(FD) and narxnet(ID,FD) ID >= 0 and FD > 0 otherwise, an ERROR will occur. Using...

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NN toolbox, Timedelay.net : removedelay?
If dmin > = 0 then net = timedelaynet( dmin:dmax) assumes y(t) = f(x(t-dmin),...,x(t-dmax)) or equivalently y...

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Using a Neural network on new data
ynew = net(xnew); *Thank you for formerly accepting my answer* Greg

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How to train neural network when given input is a binary vector and output to be a constant integer?
You forgot some of the most important information: 1. What do the input and target represent? 2. Are the input and target v...

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I cannot get to an stable neural network :/
% No ending semicolons so that output is readily seen % Modifications needed if I or O is not 1 % For many examples includ...

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K-fold Cross Validation Performance
I do not have the functions crossvalind and classperf. Although I do have crossval and cvpartition, I favor my own code used...

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I cannot get to an stable neural network :/
H = 10 % default value used explicitly net = fitnet( H ); % For regre...

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how can i use a neural network tool box with in complex number
You misinterpreted my previous answer z = x + i * y; % complex number x - the real part is real y - the imaginary p...

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Frage

HELP NARXNET BUGS, COMMENTS and SUGGESTIONS
http://www.mathworks.com/matlabcentral/newsreader/view_thread/338453

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Antworten

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how can i use a neural network tool box with in complex number
Transform magnitude/phase to real/imaginary *Thank you for formally accepting my answer* Greg

mehr als 11 Jahre vor | 1

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neural network ntstool trains too fast!
Validation stopping prevents the net from performing badly on nontraining data. If the all 3 error rates tr.best_perf, tr.bes...

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How to create a Target data ? Neural Network Tool
If there are c classes, each target vector should be a c-dimensional {0,1} unit vector with the row index of the 1 indicating th...

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Testing neural network's forecasting ability
Your code works on the dataset in the documentation help narnet doc narnet However, I did not try it on any of the oth...

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i want to write a neural network code using back propagation algorithm.Can you guide me with step by step process through which i can achieve this???
No. There are too many references in your library and the internet for us to waste our time with that. Come back later wit...

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NARX input delays what exactly do they mean?
Yes, for i >=3. Also: note that an input delay of 0 is allowable but a feedback delay of 0 is not. *Thank you for formall...

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Introduction to Neural Networks Using Matlab 6.0
Very difficult to learn it well without the software. If you are going to buy a book, buy the latest version. You can also...

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Data Scaling in Neural Network
Also see [Neural network] How does neural network calculate output from net.IW, net.LW, net.b ? http://www.mathworks.co...

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[Neural network] How does neural network calculate output from net.IW, net.LW, net.b ?
I will let you figure out how to do it when the default normalization and de-normalization are not removed: clear all, clc ...

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Testing neural network's forecasting ability
Your so called "feedback" matrix is the "target" matrix. It is used in the nar and narx nets for openloop design(training and va...

mehr als 11 Jahre vor | 1

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K-fold cross-validation neural networks
For NN training it would be more useful to have a 3 part stratified division into train, val and test sets. To make life easy...

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