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Creating a dataset for neural network training (Speech Recognition)
It looks like you know how to do it. So ... go do it. Yes you might have to use input dimensionality reduction. However, try ...

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How to train NARX neural network in closed loop
close all, clear all, clc disp('DIRECT TRAINING OF A CLOSELOOP NARXNET') load('maglev_dataset'); whos % Name ...

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How to generate neural network equation with weight and bias??
http://www.mathworks.com/matlabcentral/answers/126180-regression-equation-from-artificial-neural-network

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How to train a Neural Network to give me a classified output based on male or female?
1. Two vectors are insufficient. Look at typical input/target sizes for classifiers help nndatasets doc nndatasets 2. ...

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Training a neural network
Sam harris on 2 Jul 2012 % Create a Nonlinear Autoregressive Network with External Input % inputDelays = 1:1; feedbackDel...

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High error percentage after training neural network
[ 85 130 ] = size(input) [ 26 130 ] = size(target) What non-default input parameters did you use?

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how can i test an time series NAR NN forecasting tool?
Find feedback delays from the significant delays of the target autocorrelation function. Find input delays from the significa...

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How to prepare the data set to train neural network in nftool?
N pairs of I-dimensional inputs and O-dimensional targets [ I N ] = size(input) [ O N ] = size(target) Hope this hel...

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Bad classification even after training neural network
Two possibilities 1. The training data does not adequately characterize the total data set. 2. The net is overfit with t...

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Is it OK to increase validation checks and decrease min gradient while training neural network?
The most important objective is to obtain an acceptable ratio of mean-square error to mean-target-variance for RANDOM subsets of...

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How can I solve the following problem?
I do not understand what you are doing. The obvious model to use is a narxnet with no hidden layers: net = narxnet(0:2,1:...

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Query on Neural network results
I = 85, O = 26, N = 130, H = 50 [ I N ] = size(input) % [ 85 130] [ O N ] = size(target) % [ 26 130] Ntrn = N...

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Regression Equation from artificial neural network
The default regression equation between inputs and outputs is a curve in 3-dimensional input space. y = B2 +LW*tansig(B1+IW*...

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trainbr - question about Effective # Param (gamk)
Check the source code of trainbr. type trainbr You will probably find if statements that discontinuously change one or m...

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Neural network inputs range & normalization
A basic assumption of most statistical regression and classification models is that training, validation and testing data can al...

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how to define unknown class in neural network?
Insufficient information How many images in each class? How many features in each image? What type of neural net? Ho...

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How to create target data for neural netwrok traing
1. Nomenclature: You have one sample. The sample contains N=8, I=32-dimensional input examples from c=8 classes. 2. Are they ...

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correct format for feature matrix in finger print recognition
If you have c classes and N I-dimensional feature vectors [ I N ] = size(input) [ c N ] = size(target) where the colu...

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How to do an analysis of neural model for relationship modelling of a complex system.
Analysis can mean many things. You will have to be more specific. If you have to, ask your teacher what he/she wants.

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Will I be able to train the neural network with negative values in feature vector?
yes

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how to define the size of feedback delays and number of hidden layer in narnet ?
Estimate the significant autocorrelation lags using nncorr or fft. Estimate the number of hidden nodes by trial and error. ...

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sensitivity analysis, multilayer, feed-forward, back-propagation neural network using MATLAB.
For a simple MIMO MLP, the I/O relationship is [ I N ] = size(x); [ O N ] = size(y); y = b2 + LW*tanh(b1+IW*x); J...

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Am getting dicomifo error
>> lookfor dicominfo dicominfo - Read metadata from DICOM message. >> help dicominfo dicominfo ...

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can u pls explain the logic of this program in detail?
This is a very poorly designed classifier. My advice is to ignore it and study the classification examples in the help and d...

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Creating a feature vector & target vector to feed into neural network
size(input) = [ 85 26 ] target = ind2vec(1:26); net = patternnet(H) ;% Determine H by trial and error help patternn...

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what calculation does neural network sim function do?
In a two layer neural network there are two layers of neurons (transfer functions), the hidden layer and the output layer. This ...

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Time Series Ahead Prediction in Neural Network, Large Scale Iterative Training
1. Use narnet with 1 hidden layer containing H hidden nodes. 2. Use nncorr to determine which autocorrelation feedback delays s...

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What is best BP training function to train data with following input in MLP?
Defaults are trainlm for regression trainscg for classification and unit column vector targets trainrp for huge data...

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How to write neural networks in form of a function???
h = tanh(b1 + IW*x); y = b2 + LW*h;

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How to make A Neural Network with following details?
I lost my hand codes when my old computer died. Now I just use the NN Toolbox. I'm sure I and others have posted several version...

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