Réponse apportée
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....

plus de 11 ans il y a | 0

| A accepté

Réponse apportée
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 ...

plus de 11 ans il y a | 2

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 3

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 3

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 1

Réponse apportée
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 ...

plus de 11 ans il y a | 0

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 0

| A accepté

Réponse apportée
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: ...

plus de 11 ans il y a | 1

| A accepté

Réponse apportée
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 ...

plus de 11 ans il y a | 1

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 2

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 1

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 1

| A accepté

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

plus de 11 ans il y a | 1

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 1

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 3

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 2

| A accepté

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

plus de 11 ans il y a | 2

Réponse apportée
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...

plus de 11 ans il y a | 1

| A accepté

Question


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

plus de 11 ans il y a | 1 réponse | 0

0

réponse

Réponse apportée
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

plus de 11 ans il y a | 1

Réponse apportée
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...

plus de 11 ans il y a | 1

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 1

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 0

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 0

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 2

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 0

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 1

Réponse apportée
[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 ...

plus de 11 ans il y a | 2

| A accepté

Réponse apportée
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...

plus de 11 ans il y a | 1

Réponse apportée
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...

plus de 11 ans il y a | 5

| A accepté

Charger plus