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How do I form an empirical equation using a trained Feed Forward Back Propagation Neural Network with Logsig transfer function, 2 input, 10 hidden, and 3 output neurons? Please anybody show me the procedure.
Search BOTH the NEWSGROUP and ANSWERS using greg analytic You should be able to find more than a few examples Hope thi...

10 years ago | 0

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RMSE in Normalized Data .
I see no reason for doing that. Greg

10 years ago | 0

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Identify an unknown pattern showing up in a list of matrices
Just average the matrices. Hope this helps. *Thank you for formally accepting my answer* Greg

10 years ago | 0

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In pattern recognition using neural network what should be the output?
% For c classification categories numbered 1:c, use a classindex row vector classind = [ 5 3 1 4 2 5 4 3 2 1 ] N = l...

10 years ago | 0

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how to predict next value using time series data?
OK I get it: [ I N ] = size(input) % [ 3 144 ] [ O N ] = size(target) % [ 1 144] Hope this helps. *Thank you for ...

10 years ago | 0

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Can we use strings as target matrix in neural network fitting app?
If you have c cloud types make the targets {0,1} c-dimensional unit column vectors from the unii matrix eye(c). Hope this hel...

10 years ago | 0

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How can I train neural network with more data than can fit the memory?
You do not need to train on all of that data. You have 11 inputs dimensions. They are more than adequately sampled if you r...

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artificial neural network simulation
A. It is well known (see the comp.ai.neural-nets FAQ) that nets train and perform easier when: 1. Outliers are modified...

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Is it possible to add softmax layer and use cross entropy with layrecnet?
For c classes just use {0,1} c-dimensional unit vectors in the output. The assigned class is obtained from the maximum value...

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how to train a 3D input matrix using back propagation neural network?
1. Of course there is a problem. EACH of the N I-dimensional input vectors creates ONE O-dimensional output vector. So, ...

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What is the equivalent of the function "perform" in MATLAB 2010 ?
% Properties of any net can be deduced by OMITTING AN ENDING SEMICOLON % Example 1 at net creation: close all, clea...

10 years ago | 0

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how to train a 3D input matrix using back propagation neural network?
[ I N ] = size(input) % [180, 51] [ O N ] = size(target) % [408, 51] Hope this helps. Greg

10 years ago | 1

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1. what is the minimum number of the input(Data) that u can use to train Neural Network for Multi Step Ahead Prediction?,2. how can I feed the following data to my code?,(my data are{54 60 69 73 79 80) I want to predict multi step ahead
You do not want the number of unknown parameters, Np, to exceed the number of training equations, Ntrneq. In the default m...

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Data Normalization for Artificial Neural Network use
For regression/curve-fitting just use FITNET. Defaults will take care of those details. Typically, you only have to worry ab...

10 years ago | 0

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1. what is the minimum number of the input(Data) that u can use to train Neural Network for Multi Step Ahead Prediction?,2. how can I feed the following data to my code?,(my data are{54 60 69 73 79 80) I want to predict multi step ahead
1. Format your post so that it will run when cut and pasted into the command line 2. Use upper case for cells and lower...

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SUGGESTIONS FOR IMPROVEMENT(S) ON NARNET MULTISTEP AHEAD PREDICTIONS ON THE SOLAR DATASET?
close all, clear all, clc, plt=0, tic % FOR UNBIASED PREDICTION OF FUTURE SOLAR FLARE EVENTS, 70/15/15 DIVIDEBLOCK DATADIVISI...

10 years ago | 1

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What kind of RMSE should I choose to show the capability of function approximation with Neural Networks ؟
Neither: 1. The default performance function of the regression NNs NEWFIT (calls the generic NEWFF; both are obsolete but sti...

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SUGGESTIONS FOR IMPROVEMENT(S) ON NARNET MULTISTEP AHEAD PREDICTIONS ON THE SOLAR DATASET?
Here is my preliminary result with default 70/15/15 datadivision and H = 10 hidden nodes. However, NONDEFAULT DIVIDEBLOCK was ...

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how to create exe file from NN toolbox trained network for testing on new data inputs
% To save save net1; % To use on new data in another program or from the command line load net1 newoutput = net1(n...

10 years ago | 0

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Training the neural network
1. To list the net properties available for changing either a. Create a new net without the ending semicolon ...

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SUGGESTIONS FOR IMPROVEMENT(S) ON NARNET MULTISTEP AHEAD PREDICTIONS ON THE SOLAR DATASET?
For UNBIASED FUTURE PREDICTIONS of the SOLAR_DATASET, I see the initial attack structured as follows: 1. DIVIDEBLOCK DATA...

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How to train a model to predict the material removal rate, tool wear rate and surface roughness using neural network in Matlab?
This is a regression/curve-fitting problem for which the NN function FITNET was designed. After reading the help and doc doc...

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Neural network's simulation result OUTRANGE the target data.
The range of your output data depends on the output activation function. The default NN for regression and curve-fitting is FITN...

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how to import bankruptcy predication dataset with 15 variables
Why is a beginner interested in using a hybrid model? I don't see the point. Just concentrate on obtaining the best of both ...

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Understanding neural networks with patternet
I have contributed to 57 NEWSGROUP threads about PATTERNNET (14 within the past year). Many are of a tutorial nature. I recom...

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I am doing my intern project on speech recognition using neural networks by using matlab.i am done with my feature extraction part but i dont know how to proceed after that can any one please help with the coding part.
DOCUMENTATION: help patternnet doc patternnet EXAMPLE DATASETS: help nndatasets doc nndatasets SOLVED EXAM...

10 years ago | 0

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How can I classify 1000 images consisting of 10 classes of 100 images each(Wang database) using patternnet?
[ I N ] = size(x) % [ 64 1000 ] [ O N ] = size(t) % [ 10 1000 ] where the columns of t are columns of the {0,1} unit mat...

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Not expected weights size
1. I have found the "I"nput and "O"utput target vector dimensions for the MATLAB NN EXAMPLE DATA SETS using the help and ...

10 years ago | 0

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How could I have an optimization plot of the optimum settings?
If you have a net that estimates Y from X, there is no easy way to estimate X from Y unless you design a second net. Hope thi...

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Using Neural Network approach compute DFT and power spectrum of a sampled data sequence.
Inappropriate for NNs. USE the FFT. Greg

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