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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年以上前 | 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年以上前 | 1

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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...

11年以上前 | 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年以上前 | 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年以上前 | 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年以上前 | 0

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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...

11年以上前 | 1

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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...

11年以上前 | 1

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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

11年以上前 | 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年以上前 | 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年以上前 | 1

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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 ) ...

11年以上前 | 0

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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(...

11年以上前 | 1

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

11年以上前 | 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年以上前 | 1

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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...

11年以上前 | 1

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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...

11年以上前 | 3

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neural network model meaning???
The former.

11年以上前 | 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年以上前 | 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年以上前 | 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年以上前 | 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年以上前 | 1

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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...

11年以上前 | 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年以上前 | 0

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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...

11年以上前 | 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年以上前 | 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年以上前 | 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年以上前 | 0

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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...

11年以上前 | 0

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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...

11年以上前 | 1

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