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question is how to connect these three nets by serial once and by parallel once.
Connecting them in series makes no sense. y = (net1(x)+net2(x)+net3(x))/3 Hope this helps. *Thank you for formally acc...

11 years ago | 0

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Which one is more important? MSE or input-error correlation?
The objective is to minimize MSE. A high input/error Xcorr indicates that the MSE can be lowered by modifying the design. ...

11 years ago | 0

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problem with time shift between target and simulation output using neural network
load data.mat whos % Name Size Bytes Class % data 43465x4 1390880 double 1. Life is MUCH...

11 years ago | 2

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Data Structure for Neural Network
1. If you plug numbers into your expressions you will that find one of them is an illegal syntax. 2. I don't understand the d...

11 years ago | 0

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ANN Tool in MATLAB
If there are c classes or categories and N examples of I-dimensional inputs. [ I N ] = size(input) [ c N ] = size(target)...

11 years ago | 0

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Answered
problem with time shift between target and simulation output using neural network
There is no way we can help without seeing your code and example data. Applying it to a MATLAB example data set would be most...

11 years ago | 2

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Can anyone help me with a detailed workflow for using NN toolbox for predicting day-ahead solar irradiance from historical hourly time series?
It depends on whether you want to use output feedback or not. Fot no feedback help timedelaynet %prediction depends on curr...

11 years ago | 0

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Answered
Bounded neural network output
clear all, clc H = 10; net = fitnet(H); b1 = net.b{1} % zeros(10,1) IW = net.IW{1,1} % Empty matrix: 10-by-0 b2 = ne...

11 years ago | 1

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Answered
matlab code for stock price prediction using artificial neural network or hidden markov model using nueral network tool
Search the NEWSGROUP and ANSWERS for previous posts on the topic. For example if the search words neural finance prediction ...

11 years ago | 1

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don't use random train of som network
If you initialize the random number generator to the same state, the results will be duplicated. help rng doc rng Hop...

11 years ago | 0

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help in neural network
The optimal value for H is usually obtained by trial and error. For each candidate value for H design Ntrials nets with differen...

11 years ago | 1

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What is the significance of the tapped delay lines in dynamic neural networks?
ID >= 0 causes the output to depend on current and past inputs FD > 0 causes the output to depend on past outputs Signif...

11 years ago | 1

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Is it possible truncate a neural network weights?
Set the display format at the beginning of the program. It will not affect the accuracy of internal function calculations. ...

11 years ago | 1

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How can I use Six different target matrices and One input matrix on Neural Network?
[ I N ] = size(input)% N I-dimensional input vectors [c N ] = size(target)% corresponding N c-dimensional {0,1} unit targ...

11 years ago | 0

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Why do i obtain good results but poor input error cross correlation plot?
If the input/error cross-correlation is large, then a different set of weights could use that correlation to further improve per...

11 years ago | 0

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how to create a neural network with 1 layer only (no hidden layers)?
net = fitnet([]); % For regression net = patternnet([]); % For classification Hope this helps. *Thank you for f...

11 years ago | 1

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5 fold cross validation for ANN in matlab
Search NEWSGOUP and ANSWERS with greg crossvalidation greg cross-validation greg cross validation Hope this helps. ...

11 years ago | 0

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Help in Neural network Coding?
[ I N ] = size(input) % I = 10 [ O N ] = size(target) % O = 8 % Find h by trial and error to minimize MSE n...

11 years ago | 2

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Why is my neural network overfitting?
The best approach for regression is to start with FITNET using as many defaults as possible. The default I-H-O node topology con...

11 years ago | 2

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after training networ not have a good results
The new and original data should be consistent with samples from the same probability distribution. 1. How much data do you h...

11 years ago | 1

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What does mean MU parameter in NNtool MAtlab?
doc trainlm Hope this helps. *Thank you for formally accepting my answer.* Greg

11 years ago | 1

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Confusion matrix results interpretation
You can compare predictedclassindices = vec2ind(output) with trueclassindices = vec2ind(target) For examples sear...

11 years ago | 1

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Neural Network Normalization code
I don't understand. What is the purpose of this post? If it is about normalization, the default for both input and target ...

11 years ago | 1

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20 Days ahead forecasts using NAR
Try FD = 1:20; net = narnet(FD,H=10); net.divideFcn = 'divideblock'; % Never use 'dividerand' for timeseries. For d...

11 years ago | 1

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Problem of neural network prediction
Insufficient info. Which net? Size of inputs and targets? Size of ID and FD? code?

11 years ago | 0

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Why is my neural network overfitting?
Do not use feedforwardnet for forcasting the future. Use a timeseries net with net.divideFcn = 'divideblock'; Use nncorr t...

11 years ago | 2

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Neural Network Fitnet Output Is Not Realistic
% x = all_ecmwf; % t = precip_shaped; % % [ I N ] = size( x ) % [ 34 8353 ] % [ O N ] = size( t ) % [ 1 8353 ] %% Analyze...

11 years ago | 2

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How to predict next value using time series?
1. Override 'dividerand' to obtain constant intervals between points. For example net.divideFcn = 'divideblock' 2. O...

11 years ago | 0

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How to train NN by keeping all the weights fixed except one of the weights ?
You would have to write your own code to have separate learning rates for different subsets of weights. In lieu of that you c...

11 years ago | 2

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scale range for neural network
I don't have any specific code. I would experiment with the following. 1. Worry about the gating later. 2. First, determin...

11 years ago | 0

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