Answered
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 ...

12 years ago | 1

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Answered
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 ...

12 years ago | 0

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

12 years ago | 0

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Answered
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. ...

12 years ago | 0

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

12 years ago | 0

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

12 years ago | 0

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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...

12 years ago | 0

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Answered
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...

12 years ago | 1

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Answered
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...

12 years ago | 1

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Answered
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...

12 years ago | 4

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Answered
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:...

12 years ago | 0

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Answered
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...

12 years ago | 0

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Answered
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*...

12 years ago | 3

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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...

12 years ago | 0

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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...

12 years ago | 0

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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...

12 years ago | 0

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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 ...

12 years ago | 0

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Answered
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...

12 years ago | 1

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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.

12 years ago | 1

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

12 years ago | 0

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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. ...

12 years ago | 0

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Answered
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...

12 years ago | 1

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

12 years ago | 0

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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...

12 years ago | 2

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Answered
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...

12 years ago | 1

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Answered
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 ...

12 years ago | 1

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Answered
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...

12 years ago | 0

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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...

12 years ago | 1

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

12 years ago | 1

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Answered
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...

12 years ago | 0

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