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How is the output layer characterized in the neural network toolbox?
Your code looks ok. However, since the figure shows 3 inputs, I question your quoted sizes. Insert the following statements ...

11 years ago | 0

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how can i get the matlab code for MLPN NEURAL NETWORK
1. command line help fitnet doc fitnet 2. NEWSGROUP and/or ANSWERS search greg fitnet 3. For source code: ty...

11 years ago | 0

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fitnet regression plot shows no relation between output and target values
The regression plot will only show output 1 vs input 1. Obviously, there are 95 other plots for the other I/O combinations, s...

11 years ago | 1

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why the number of epoches is low
The default structure is an I-H-O = 12-10-1 tansig/purelin fitnet. Standardize input and target with zscore. Try that configurat...

11 years ago | 0

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How to store the randomly generated initial weights while using fitnet function of ANN toolbox?
Cut and paste into the command line: [x,t] = simplefit_dataset; net = fitnet(10); % Inputs and Outputs are NOT ...

11 years ago | 1

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How to sign multiple input and multiple output?
size(input) = [ 3 26 ] size(target) = eye(36) Hope this helps. *Thank you for formally accepting my answer* Greg

11 years ago | 0

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How close loop works in NAR neural network?
You have to know the target in order to test and, if needed, to continue training netc. Just closing the loop is, in general...

11 years ago | 0

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How to specify some weight of ANN?
Set the learning rates of the output layer to zero.

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Neural Network Validation Index
You may be using trainbr.

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Neural network simulation
Add random noise to the test data to get performance vs snr. Better yet, systematically add noise to all the data to get a nu...

11 years ago | 0

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create a network with multiple inputs using NNTOOL
Combine the two files to create a multidimensional input matrix. Greg

11 years ago | 0

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Neural Network Step Targets
A well trained net learns a deterministic input/output relationship. Training, validation and test data should all be representa...

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how many datasets are used to training neural network in one iteration?
1 dataset 100 examples Each epoch the batch training default, trainlm, uses 70 training examples to update weights, outp...

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neural network problem in newff
close all ; clc; clf; clear all; % Load the Closing stock index Data load wedinput.dat; load wedtarget.dat; % Input an...

11 years ago | 1

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Neural Network retrieve test dataset to plot
From either [ net tr y e ] = train( net, x, t ); % or % [ net tr ] = train( net, x, t ); % y = net(x); % e = t - y...

11 years ago | 1

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i get an error when creating newff please help me ..
It looks like you are using an obsolete version of NEWFF where the first input is minmax(input_n) instead of input_n. However...

11 years ago | 0

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How to set up weights/bias of the NARX neural network
You are concentrating on the wrong stuff. The most important things are (assuming a SINGLE hidden layer) 1. Obtain a good se...

11 years ago | 0

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Making dataset for signature recognition?
I assume you have a technique for extracting features out of the images. If not, you'll have to search the net, including comp.a...

11 years ago | 1

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How to test a neural network with an unknown input data set?
ynew = net(xnew) Hope this helps. Greg

11 years ago | 1

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I want to classify the mammogram using BNN (Bayesian Neural Network) classifier....Any steps of bnn classifier..
help trainbr doc trainbr

11 years ago | 1

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I have to classify the mammograms using bnn (Bayesian neural network) classifier..please help me..
Extract features and use trainbr help trainbr doc trainbr Hope this helps *Thank you for formally accepting my answe...

11 years ago | 1

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Answered
Can anybody knows ,ist here any difference between naviey bayes classifier and bayesian neural network classifier??
help NaïveBayes doc NaiveBayes help fitNaïveBayes doc fitNaiveBayes Assumes probability distributions for each cl...

11 years ago | 0

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which is the best neural network for classification problem?
It depends. However, in general, the default should be the standard classification version of the universal approximator. The...

11 years ago | 1

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How to decide inputs and targets for neural networks for a signature recognition and verification system?
For N=360 examples of I-dimensional extracted feature column vectors and corresponding N-dimensional row vector of class indices...

11 years ago | 1

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how to display individual output regression in multiple output neural network
1. Please reformat your code so that it can be run by cutting and pasting into the command line without further adjustments. ...

11 years ago | 1

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layer in neural network
Two of the most important uses for Neural Networks are regression(function approximation, curvefitting) and classification/patte...

11 years ago | 1

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How can i make a training of square pulse to neural network ? how
% when i am training a square wave to a neural network , network reply response below % </matlabcentral/answers/uploaded_file...

11 years ago | 1

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Below is the probabilistic neural network for classification, but it is not working fine. Can someone help to improve it? especially how to recalculate training, validation and test performance.
NEWPNN is created, not trained. help newpnn doc newpnn Try NEWRB, it trains itself. help newrb doc newrb Sear...

11 years ago | 1

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welcom i need perceptron neural network in matlab using in pattern recognation
help patternnet doc patternnet For ther patternnet examples search the NEWSGROUP (and ANSWERS) greg patternnet Hope...

11 years ago | 1

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Answered
how to decrease the neural network error
close all, clear all, clc [ I N ] = size(input) % [ 6 90 ] [O N ] = size(target)% [ 3 90 ] MSE00 = mean(var(target',1)...

11 years ago | 1

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