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Confusion matrix outputs NaN values after classification using Neural Network
Isn't it obvious? 1. Rows 9 and 10 contain nothing but zeros. 2. Ratios and percentages obtained by dividing by zero w...

mehr als 9 Jahre vor | 0

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How to disable popup of training windows for neural network in matlab
close all, clear all, clc [x,t] = simplefit_dataset; net = fitnet; net.trainParam.showWindow = 0; % <== This does it [n...

mehr als 9 Jahre vor | 9

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How to develop a neural network transfer function?
Use FITNET with vectors obtained from vectorizing layers. Hope this helps *Thank you for formally accepting my answer* ...

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How to synthetic generate features to balance dataset?
If you have multiple classes with different numbers of examples, the means and covariances of the classes can be used to generat...

mehr als 9 Jahre vor | 0

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how to get the best the number of hidden neurons and layers for a NARXNET?
There are zillions of my posts in both the NEWSGROUP and ANSWERS that use the criterion Ntrneq >= Nw %( number of...

mehr als 9 Jahre vor | 0

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Train recurrent neural network with variable length input cell vectors.
Neural networks require "I"nput column vectors with a fixed length (I). Therefore you will have to complete the columns with zer...

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How can I manually perform an elmannet neural network calculation?
My guess is z(t) = B1 + IW * [ x(t); z(t-1); z(t-2)]; y(t) = B2 + LW * z(t); Hope this helps *Thank you for formally...

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Where can I find the coefficients for my neural net input elements?
Typically, the output y is given by y = B2 + LW*tanh( B1 + IW*x) where B1 input "B"ias net.b{1} IW ...

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How can train a neural network, using Genetic Algorithm, I need a example in code. thank
Search NEWSGROUP and ANSWERS with greg genetic Hope this helps. *Thank you for formally accepting my answer* Greg

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Is possible solve the problem used ANN toolbox? (related future input)
"I"nputs are I-dimensional column vectors and "O"utput targets are O-dimensional column vectors. Then [ I N ] = size(inputmat...

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neural network input error
You cannot change the dimension of the inputs from 50 to 100; Hope this helps *Thank you for formally accepting my answer*...

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Neural Net Fitting - how to set a result goal?
I'm sure this has been discussed in both NEWSGROUP & ANSWERS at least a zillion times Try searching with greg msegoal ...

mehr als 9 Jahre vor | 0

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How to train ANN if my input data is in the form of signals (EMTP-ATP)?
There are two separate regions with stationary summary statistics. This can be modeled with two nets. Why does the secon...

mehr als 9 Jahre vor | 0

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Importance of various inputs of neural network
I don't think the analytic expression y = B2 + LW * tanh( B1 + IW * x ) will help very much Ranking a large number of ...

mehr als 9 Jahre vor | 0

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How to get the transfer function equation for the implemented neural network
You have to obtain xsettings and tsettings from x and t. Then apply them to x2 and t2. Hope this helps. *Thank you for ...

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How do I get the correct output from a fitnet artificial neural network?
1. Very often you have to use several choices of the random initial weights in order to get a good answer. 2. You forgot to t...

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In neural network toolbox for the function: trainautencoder, how can I use purelin for encodertranferfunction?
Using purelin in a hidden layer is a waste of time. You can get the same result by removing the layer and adjusting the outpu...

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In Neural Network Toolbox, how can I can change the values of training Parameters ?
1. Another way to do it is net = patternnet(hiddenlayersize); . . . net.trainFcn = 'traingdx'; [ net tr y e ] = train(n...

mehr als 9 Jahre vor | 0

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Coding ANN learning parameters (e.g number of hidden neurons, learning methods, learning rate, momentum, number of epoch) in Genetic Algorithm chromosome?
Search both NEWSGROUP and ANSWERS using greg genetic Hope this helps *Thank you for formally accepting my answer* ...

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How to change learning rate and momentum rate values in GUI application to train ANN
Use the default values and worry about 1. Number of hidden nodes 2. Initial random weights For examples search in both ...

mehr als 9 Jahre vor | 0

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in backpropagation learning algorithm always i used to get the same accuracy rate whatever learning rate and momentum constant is used.So, what is the solution for this
I have the same experience. What I do is use the best of multiple designs that differ by number of hidden nodes and initial r...

mehr als 9 Jahre vor | 0

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the learning rate inportance
I have designed zillions of NNs with MATLAB and do not remember ever having to use a nondefault value of lr. Typically, the o...

mehr als 9 Jahre vor | 0

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How do I create a neural network that will give multiple outputs?
x = randn(18,141); t = randn(18,141); net = feedforwardnet([ 36 36 ]); net = train(net,x,t); view(net) *Thank ...

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How to define the prediction horizon in neural network time series tool?
Using the standard approach outlined in doc narxet help narxnet you will get outputs every timestep after the 10th. ...

mehr als 9 Jahre vor | 0

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Suggest to network architecture for two class classification problem by using MLP neural network
Most of your questions can be answered from 1. The doc and help documentation examples help patternnet doc patternnet ...

mehr als 9 Jahre vor | 0

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NARXNET closed-loop vs open-loop
% NARXNET closed-loop vs open-loop % Asked by Yevgeniy Arabadzhi % 8:38 PM Thursday, November 3, 2016 % % I have thr...

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NARXNET closed-loop vs open-loop
Quick answer: Openloop: Target and input signals are combined to form a vector input for designing the net by estimating ...

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What neural network should I use?
help fitnet doc fitnet Hope this helps. *Thank you for formally accepting my answer* Greg

mehr als 9 Jahre vor | 1

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question regarding ntstool, pollution mortality example dataset
[X,T] = pollution_dataset; net = narxnet(1:2,1:2,10); [ Ic N ] = size(X) %[ 1 508] [ Oc N ] = size(T))%[ 1 508] x = cell2ma...

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correlation function lag selection
1. ID=0 is permissible; FD =0 is noncausal (equivalent to saying the output at time t is caused by the output at time t). 2....

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