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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....

11年以上前 | 0

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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 ...

11年以上前 | 2

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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...

11年以上前 | 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...

11年以上前 | 3

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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...

11年以上前 | 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 ...

11年以上前 | 0

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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...

11年以上前 | 0

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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: ...

11年以上前 | 1

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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 ...

11年以上前 | 1

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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...

11年以上前 | 2

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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...

11年以上前 | 1

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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...

11年以上前 | 1

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

11年以上前 | 1

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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...

11年以上前 | 1

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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...

11年以上前 | 3

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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...

11年以上前 | 2

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

11年以上前 | 2

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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...

11年以上前 | 1

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質問

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

11年以上前 | 0 件の回答 | 0

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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

11年以上前 | 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...

11年以上前 | 1

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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...

11年以上前 | 1

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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...

11年以上前 | 0

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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...

11年以上前 | 0

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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...

11年以上前 | 2

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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...

11年以上前 | 0

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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...

11年以上前 | 1

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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 ...

11年以上前 | 2

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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...

11年以上前 | 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...

11年以上前 | 5

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