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Help in normalization minmax
1. There is no need to explicitly use mapminmax on NNET inputs or outputs. It is a default. 2. It works on the rows of a matr...

11 years ago | 0

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Is it possible to get expression/formula of Neural Network Toolbox?
Eliminating statements that assign default values yields x = input; t = target; % Reserve the variable name ...

11 years ago | 2

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scale range for neural network
This is easily solved by using a gating net that sends the input to a following net designed for a specific range of inputs. ...

11 years ago | 1

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Is it possible to get expression/formula of Neural Network Toolbox?
The equation for fitnet is y = b2 + LW*tanh(b1+IW*x); where b1 = net.b{1}; b2 = net.b{2}; IW = net.IW{1,1}; L...

11 years ago | 2

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How to predict next value using time series?
Try net = nar(1); For details see help nar doc nar Hope this helps *Thank you for formally accepting my a...

11 years ago | 1

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Prediction Problem using NARX neural network
If you are using NARX, the predictions stop when the inputs stop. If you want to predict further, change to NARNET that does ...

11 years ago | 0

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how to normalize a matrix?????
rng('default') A = 100*randn(3) Amin = repmat(min(A),3,1) Amax = repmat(max(A),3,1) a = (A-Amin)./(Amax-Amin) Hop...

11 years ago | 2

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Is there a maximum number of delays?
Statistically significant nonnegative input delays can be obtained using the input/target cross-correlation function. Statist...

11 years ago | 1

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How to forecast with Neural Network?
0. Incorrect use of the word 'lag' 1. It is rare that the default input parameters (ID,FD,H) are sufficient. They can be impr...

11 years ago | 2

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Answered
Is there an easy way to perform a Gamma Test within the Neural Network Toolbox? Or are there other ways to determine significant inputs for neural networks within the toolbox?
I have never heard of using the gamma test to rank NN inputs. The most effective methods I have used are a non-optimal succe...

11 years ago | 1

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How to plot confusion matrix
The function plotconfusion handles more than 2 classes. Replace the iris_dataset or simplecluster_dataset in the help and doc ex...

11 years ago | 1

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Error using adapt in Neural Networks
One hidden layer is sufficient What were your simple inputs ? Why not test with a MATLAB data set so that we can compare a...

11 years ago | 0

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how to fine correct classification for each class in NN
positive/negative <==> class 1/class 0 target output label 0 0 true negative 0 1 false ...

11 years ago | 1

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Training neural network for voice detection.
help patternnet doc patternnet Hope this helps. *Thank you for formally accepting my answer* Greg

11 years ago | 0

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Since iam using matlab version 2010a iam in need of function 'gsubtract'...how can i download it...Pls help me experts...
E = {subtract(cell2mat(T)-cell2mat(Y))}; Hope this helps; *Thank you for formally accepting my answer* Greg

11 years ago | 1

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After training how can i test the data in matlab...can anyone pls help me with matlab code for testing the data...
net.divideFcn automatically creates a nontraining test set for unbiased performance estimates net.divideParam.testRatio deter...

11 years ago | 0

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Inquiry about some Details on building a Neural Network
0. "in the neuron" ??? Do you mean " in a hidden neuron layer " ? 1. NEWRB automatically adds radbas neurons during training....

11 years ago | 0

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Neural Networks extrapolation (using closed network - multistep prediction) can not even predict a line ?
1. Do you really expect to confidently predict ahead when you use 'dividerand' ??? 2. Both training and validation data are u...

11 years ago | 0

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Using the ANN with mobile applications
Hmm ... "Lot of questions here ..." I only counted one question mark. The answer is yes: You need all 24inputs . Hope t...

11 years ago | 0

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In neural networks fitting tool, Once a network is trained how can it be used to find new outputs from known inputs
Either output = net(input) % current syntax or output = sim(net,input) % obsolete Hope this help. *Thank you...

11 years ago | 1

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how to make a neural network with a large matrix as inputs?
1. The matrices should be transposed. 2. there are 5 relevant plots a. input vs time b. target vs time c. targe...

11 years ago | 0

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Error when running patternnet example code from Help documentation
The only thing that I can think of is to use clear or clear all before using those 7 commands.

11 years ago | 0

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How can I avoid negative values in the output of a feedforward net?
1. If your targets are bounded for a physical or mathematical reason the transfer functions logsig or tansig can be used. For do...

11 years ago | 1

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Neural Network Script to have Specific Testing Data from Inputs.
Your data division makes no sense. Although the trn, val, and tst subsets can overlap in space, they should not contain commo...

11 years ago | 1

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How to predict housing price using Neural Network Toolbox?
Use the fitting tool with fitnet Also, see help house_dataset doc house_dataset help fitnet doc fitnet [ x,t ...

11 years ago | 1

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Neural network inputs and Outputs with different time delay
I think the above discussions are somewhat confusing. My main points are 1. Use the target auto and target/input cross-corr...

11 years ago | 0

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Strange behaviour with batch neural network learning
In general,you cannot learn in batch sequences (search neural forgetting). You must have representatives of the complete charact...

11 years ago | 1

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I am currently working to develop an automated diabetic retinopathy detection system. I've used GLCM for feature extraction obtaining Contrast, Correlation, Energy & Homogeneity values. How can I perform classification using these values ?
The obvious answer is to use patternnet with [ I N] = size(input) % I = 4 [ C N ] = size(target) % C = Number of classes ...

11 years ago | 1

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How can I continue training with additional data to an already existed neural network?
In general, this technique will not work if you want to preserve good performance on A. If you don't want to use all of A, us...

11 years ago | 1

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Does 'dividerand' really destroy time series data autocorrelations?
In general, random divisions cannot maintain the auto and crosscorelation relationships. Just think about it. Greg

11 years ago | 1

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