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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...

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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 ] ...

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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...

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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. ...

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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...

mehr als 11 Jahre vor | 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 ...

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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...

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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...

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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

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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....

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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 ...

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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 ) ...

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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(...

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

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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...

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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...

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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...

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neural network model meaning???
The former.

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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 ...

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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.

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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...

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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...

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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...

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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...

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Respected Greg Heath sir, I want your help sir...I am trying to classify breast cancer images in 2 classes..by using RBF network in ANN.I tried many ways when you gave me suggestions..But i cant identify correct result...So sir i request you to
Search the NEWSGROUP and ANSWERS using greg newrb Among those 200+ posts, I'm sure you can find what you need. The only t...

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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...

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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...

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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

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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...

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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...

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