Beantwortet
Question on "newlind" from Neural Network Toolbox
Use the type command: type newlind Hope this helps *Thank you for formally accepting my answer* Greg

fast 12 Jahre vor | 1

Beantwortet
How to take training data from different indexes in a matrix in nprtool ?
net.divideParam.trainInd = [1:272, 546:1372]; Hope this helps *Thank you for formally accepting my answer* Greg

fast 12 Jahre vor | 0

| akzeptiert

Beantwortet
How can I predict new values in NARnet after it has been trained?
inPutss = xlsread('Datos','Hoja2'); targetSeries = tonndata(inPutss,false,false); feedbackDelays = 1:2; hiddenLayerSize =...

fast 12 Jahre vor | 0

| akzeptiert

Beantwortet
Lag in output from NarNetwork (narnet)
The net was trained with 6 delays. Why don't you expect it to show in the plots? Hope this helps. *Thank you for formally ...

fast 12 Jahre vor | 1

| akzeptiert

Beantwortet
How to get basic predictions out of a neural network?
[ Ys Xf Af ] = net(Xs,Xi,Ai); Ypred = net(cell(1,M),Xf,Af); Hope this helps. *Thank you for formally accepting my answ...

fast 12 Jahre vor | 0

| akzeptiert

Beantwortet
How to forecast y(t+N) using removedelay function for NARX model
There seems to be a misconception: An openloop feedback design is not deployable because it depends on target feedback. T...

fast 12 Jahre vor | 2

| akzeptiert

Beantwortet
What does "Vectors must be the same lengths." mean?
Use the command whos to check the dimensions of all the variables. Your error flag indicates that size(t) and size( ...

fast 12 Jahre vor | 0

| akzeptiert

Beantwortet
Best Validation check number for MATLAB neural network
That is not necessarily a problem. What error rates are you getting as you vary the number, H, of hidden nodes and sets of ra...

fast 12 Jahre vor | 0

| akzeptiert

Beantwortet
is my code correct for a multi-input Time Delay Neural Network?
1. I find it hard to believe that you need 20 inputs to predict one output. 2. You can find a much simpler basic code using ...

fast 12 Jahre vor | 1

| akzeptiert

Beantwortet
How can I get access to network's weights in 'adapt' function after each presentation of an input
getwb(net) But how does this help?

fast 12 Jahre vor | 0

| akzeptiert

Beantwortet
Neural Network Regression Score
You say you get a great MSE value however R^2 = 1-MSE/MSE00 = 0.77 where MSE00 = mean(var(target',1)) Therefore, y...

fast 12 Jahre vor | 1

Beantwortet
Finding best neural network structure using optimization algorithms and cross-validation
The outline I gave was NOT the standard k-fold cross-validation where, for each H candidate, the data is divided into k indivisi...

fast 12 Jahre vor | 3

Beantwortet
Finding best neural network structure using optimization algorithms and cross-validation
To help understanding, I will assume Nval = Ntst = 0. Search for the nonzero examples in the NEWSGROUP and ANSWERS. To design...

fast 12 Jahre vor | 3

| akzeptiert

Beantwortet
how can I access the weight??? and bias??
If you you normalize your inputs and targets using maxmin or mapstd, the function for the normalized variables is yn = B2 +...

fast 12 Jahre vor | 1

| akzeptiert

Beantwortet
how do i collect data for neural networks
help nndata Greg

fast 12 Jahre vor | 0

Beantwortet
how do i construct neural network
What you are asking doesn't make much sense. For a standard universal approximation I-H-O net the number of weights are Nw ...

fast 12 Jahre vor | 0

| akzeptiert

Beantwortet
How to decide the range for weights and bias based on input data set ?
You can but you do not have to. By default, variables are normalized to [-1,1] and the initial weights are automatically determi...

fast 12 Jahre vor | 2

| akzeptiert

Beantwortet
how can I access the weight??? and bias??
clear all, clc [x,t] = simplefit_dataset; net = fitnet; rng(0) net = train(net,x,t); IW = net.IW{1,1} b1 ...

fast 12 Jahre vor | 1

Beantwortet
Ensembling of neural networks
What is optimal load shedding? Why do you think you need it? Why do you think you need an ensemble? size(input) = [ ? ...

fast 12 Jahre vor | 1

Beantwortet
why my regression plot is inverse
Oh! You you have a classifier with {0,1} targets! You are probably using the wrong function. Use patternnet (not fitnet or fe...

fast 12 Jahre vor | 1

| akzeptiert

Beantwortet
After training my Neural Network, how do I use it?
The first thing you need to do is determine the significant lags of the autocorrelation function obtained from the training frac...

fast 12 Jahre vor | 1

| akzeptiert

Beantwortet
How to use narxnet for new set of data?
1. The best way to solve a problem is to use the MATLAB example data with which we are familiar help nndata 2. It doesn't ...

fast 12 Jahre vor | 2

| akzeptiert

Beantwortet
why my regression plot is inverse
Default solutions depend on random trn/val/tst data divisions, random weight initializations and the choice of the number of hid...

fast 12 Jahre vor | 1

Beantwortet
How can I get all possible solutions for an equation?
Some or all of the solutions can probably be obtained via recursion. Given a, b=1/a and x(1), try x(n+1) = arcsin(a*x(n))...

fast 12 Jahre vor | 1

| akzeptiert

Beantwortet
how do i generate samples of two input xor gate for neural networks
You mean 32 examples (a single sample is a set of multiple examples). There are only 4 possible inputs. They are obvious. ...

fast 12 Jahre vor | 1

| akzeptiert

Beantwortet
How to use narxnet for new set of data?
1. Test netc with the original data. If performance is lousy, train it starting with the existing weights from the openloop desi...

fast 12 Jahre vor | 2

Beantwortet
What is the Input and the Target for this case in the Time Series Tool (Neural Networks Tool)?
1. Find the statistically significant lags using the autocorrelation function. Search greg nncorr 2. Use a subset of the ...

fast 12 Jahre vor | 1

Beantwortet
how do i collect data for neural networks
N examples of an I-dimensional input and the corresponding O-dimensional target output: [ I N ] = size(input) [ O N ] = ...

fast 12 Jahre vor | 0

| akzeptiert

Beantwortet
Am I computing cross entropy incorrectly?
If c classes are mutually exclusive, classifier target probability values should be the certain probability values of 0 or 1 and...

fast 12 Jahre vor | 2

| akzeptiert

Beantwortet
Am I computing cross entropy incorrectly?
You are using the Xent form for outputs and targets that do not have to sum to 1. The corresponding output transfer function is ...

fast 12 Jahre vor | 1