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Please help me understand what happens to the matrices bellow
The significance of the code is that MSE00 is a very special reference normalization value for mean-square-error. Consider a...

11 years ago | 1

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How Should I set the matrix of my input and Target for my problem?
For N pairs of I-dimensional input vectors and corresponding O-dimensional target vectors [ I N ] = size(input) [ O N ] ...

11 years ago | 1

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Answered
how define constraint on the outputs of ANN fitting?
It depends on the reason for the constraint. Is it math/physics or convenience? It is all done by a combination of target sc...

11 years ago | 4

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what type of neural network?
Command line documentation help fitnet doc finet NEWSGROUP and ANSWERS searches greg fitnet Hope this helps. ...

11 years ago | 1

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Does this plot give the actual error autocorrelation? Is this correct?
Read the documentation regarding the value at zero lag. help ploterrcorr doc ploterrcorr Hope this helps. *Thank y...

11 years ago | 2

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Why not train neural network newff?
load ('trenovaci_modely2_stredni') D = [stredni_tvar{1,:}]; F = [stredni_tvar{2,:}]; [ I N ] = size(D) % = ? [ O N ...

11 years ago | 0

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Answered
How to crete Input and Target data for Neural Network Training?
N = 110*110*2 % 24200 [ I N ] = size(input) % [ 80 N ] [ O N ] = size(target) % [ 110 N ] e.g, [ repmat(e...

11 years ago | 1

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Answered
Discuss About Application of Coefficient of determination in Neural Networks
What is being done is to increase the order of the models to better understand and quantify the final model. The 0th order ne...

11 years ago | 1

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Answered
Error in NMSE = MSE/MSE00 matrix dimensions don't match
Apparently, you used the wrong equation. Both MSE and MSE00 are scalars. Search greg MSE00

11 years ago | 1

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Understanding Simple Narx Example
1. The script obtained from nntool can be simplified by deleting all redundant statements that explicitly assign default values....

11 years ago | 1

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Couldn't fit the data using NEURAL NETWORKS IN MATLAB (fitnet function)
1. The best approach for us to help is to a. Apply your code to the MATLAB data set that provides the best example of your ...

11 years ago | 1

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Answered
How to get Equation of Function developed by ANN (Curve fitting) after training
clear all, close all, clc [ x , t ] = simplefit_dataset; [ I N ] = size( x ) %[ 1 94 ] [ O N ] = size( t ) ...

11 years ago | 0

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Answered
How do I know the number of the hidden nodes in ANN ?
[I N ] = size(input) % size("I"nput) [O N ] = size(target) % size("O"utput) Ntrn = N - 2*round(...

11 years ago | 1

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nan as NARXNET output! what's thats means?
There is at least one error in your code. Greg

11 years ago | 0

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How can I update my newff functions to the updated functions feedforwardnet or patternnet?
1. One hidden layer is sufficient 2. Use all of the defaults 3. Minimal code is available in the documentation help fi...

11 years ago | 1

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Answered
How to time series forecasting with the trained neural network?
[ Y Xf Af ]= net( X, Xi, Ai ); % In the target region for post target prediction Xpi = Xf Api = Af [ Yp Xpf Apf...

11 years ago | 1

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Answered
How to analyse the performance of Neural Network using Neural Network Toolbox? The performance and training state graphs are attached. Kindly Check.
The success of a NN design often depends on a fortunate set of random initial weights AND a reasonable value for the number of h...

11 years ago | 3

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neural network model meaning???
The former.

11 years ago | 0

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Parameter Importance For Neural Network
[ I N ] = size(input) % = ? [ O N ] = size(target)% = ? 0. If inputs are not orthogonal and/or N is large, don't expect a ...

11 years ago | 0

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Why the gradient descent algorithm increases in each epoch?
1. Use as many defaults as possible 2.Don't use the custom activation function.

11 years ago | 0

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Multi-Step Prediction using neural networks (ntstool)
You have Ai2 on both sides of the equation. Therefore, you will get an error when Ai2 is not defined previously. Why don't...

11 years ago | 0

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To optimize a neural network of multiple inputs using a genetic algorithm.
function NMSE_calc = NMSE( wb, net, input, target) % wb is the weights and biases row vector obtained from the genetic a...

11 years ago | 1

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Answered
Neural Network program problem in classification
You are confused. What is the physical problem you are trying to solve? 1. What are the inputs? 2. What are the corresp...

11 years ago | 0

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How to train neural network in MATLAB in mutliple levels?
It will not work. Significant characteristics of all 8 categories should be continually present. You haven't explained what t...

11 years ago | 0

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Sir what is the advantages of using RBF network for classification than Artificial neural network???In many clasiffication case RBF network is most commonly select than ANN???
If the graphical representation of the data indicates that classes are readily described by the superposition of elliptical an...

11 years ago | 1

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Sir what is the difference between Artificial neural network and RBF based network????Why RBF network is more suitable for classification than Regular artificial neural network?????
BOTH are feedforward artificial neural networks. MLP or MLPNN: Multilayer Perceptron NN uses S-shaped sigmoid functions in t...

11 years ago | 1

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matlab code for design RBF Network????can anyone help me????
COMMAND LINE: help newrb doc newrb NEWSGROUP & ANSWERS greg newrb greg rbf

11 years ago | 0

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Answered
Is narnet <=> to feedforwardnet where the input(s) is(are) previous value(s) of the ouput?
For deployment, NAR and NARNET must be in the CLOSELOOP configuration which, typically, takes very long to train because an erro...

11 years ago | 0

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Answered
What are the application of defining the Classes in Neural Network ?
I don't think that you understand that MATLAB differentiates 4 basic types of nets Please read the command line documentati...

11 years ago | 1

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