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ABout LVQ neural network in matlab
> I'm using a Learning Vector Quantization network (LVQ) to classify data collected for deep brain stimulation. Why are you...

12 years ago | 1

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Hello I am trying to Use Neural Network for Flood Forecasting and , could someone please Help me.
http://www.mathworks.com/matlabcentral/answers/113395-flood-forecasting-feed-forward

12 years ago | 0

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Hello everyone, Help for Time series Problem In neural Network
http://www.mathworks.com/matlabcentral/answers/113395-flood-forecasting-feed-forward

12 years ago | 0

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Calculate sine wave frequency using FFT
What, exactly do you not understand about the documentation example? doc fft *Thank you for formally accepting my answer*...

12 years ago | 0

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How can i convert the numeric numbers stored in a table into the binary numbers with some condition?
I don't believe you are addressing the problem properly. How many inputs do you have? Standardize all inputs (zero-mean/un...

12 years ago | 0

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flood forecasting feed forward
Forecasting implies predicting the future. If this is the case, use one of help narxnet % Delayed input and delaye...

12 years ago | 0

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I think no one will be able to answer this.........
Your question is ill-defined: You have not presented enough info. 1. Is the middle column the noisy signal? 2. Is the ...

12 years ago | 0

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How to normalize a data serie which have negative and positive values for Prediction through ANN?
Normalization to [ -1, 1] is a default for most of the ANN functions. This includes the most important timeseries functions time...

12 years ago | 1

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How can i convert the numeric numbers stored in a table into the binary numbers with some condition?
Converting outputs to binary for classification and/or pattern recognition is highly recommended. However, converting input...

12 years ago | 0

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Is the Matlab magnetic levitation model example correct?
If you Google differential equations magnetic levitation you will find the y^-2 form *Thank you for formally accepting...

12 years ago | 1

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stochastic gradient descent neural network updating net in matlab
Answer by Alper Alimoglu about 8 hours ago Edited by Alper Alimoglu about 8 hours ago My data set is formed by 1 000 000 da...

12 years ago | 0

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How to forecast a temperature using neural networks??
1.Calculate the crosscorrelation function between inputs and target 2.Determine the significant lags 3.Calculate the targ...

12 years ago | 0

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stochastic gradient descent neural network updating net in matlab
1. http://en.wikipedia.org/wiki/Stochastic_gradient_descent 2. Use the largest nndataset in the NNTBX for an example hel...

12 years ago | 0

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Answered
What is the default function or range for initialization of the weights and bias in the Artificial Neural Network?
Nguyen-Widrow Algorithm help initnw doc initnw https://www.google.com/#q=nguyen+widrow+neural+networks Hope this h...

12 years ago | 0

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Why is the mean square value changing to an another value for a different training function ?
help trainbr Note that "trainbr ... minimizes a combination of squared errors and weights" Hope this helps. Greg

12 years ago | 0

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Voice Recognition - how to add a threshold value ?
Consider this forced classification example rng(0) trueclassindices = [ randperm(10),randperm(10)]-1 % [ 5 2 6 7 4 0 1 3...

12 years ago | 0

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how to use neural networks in the diagnosis??
help patternnet doc patternnet The targets of the d diagnoses are represented by columns of the d-dimensional unit matrix ...

12 years ago | 0

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Predicting machine performance using neural network?
help fitnet doc fitnet ... ynew = net(xnew); If you want to look at some of my posts, comments and answers, search i...

12 years ago | 0

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What does OUtputs mean in neural network Tollbox ??
For c classes, targets should be columns of the unit matrix eye(c) [ c N ] = size(targets) trueclassindices = v...

12 years ago | 0

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How to compute the goodness of fit or the mean square error after training the neural network ?
The best figure of merit for classification and pattern recognition is a weighted average of between-class misclassification ra...

12 years ago | 0

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How to plot the NAR predicted values in matlab?
1. Use the Target autocorrelation function to determine a good set of feedback delays. Search the NEWSGROUP and ANSWERS usin...

12 years ago | 0

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How to find harmonic amplitude in a signal using neural network
A neural network cannot be used to implement the FFT function. A NN typically represents a point-to-point mapping between an ...

12 years ago | 0

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Fail to insert a dataset into an array.The array keeps showing that the dataset is an undefined function or variable
1. In all of the nndatasets in the NNTBX, the inputs and outputs have the same number of columns. help nndatasets doc nnda...

12 years ago | 0

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how to improve performance of a neural network
% close all, clear all, clc, tic % [x,t]=bodyfat_dataset; % numtrain=20; % net=feedforwardnet(5); 1. Not enough hidden no...

12 years ago | 0

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How to find harmonic amplitude in a signal using neural network
Do not use a neural network. Use a DFT or, for equally-spaced FFT. help fft doc fft or search the NEWSGROUP using ...

12 years ago | 0

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what Hidden Layers in Neural Network means, how to calculate the number of nodes in hidden layer?
Search the NEWSGROUP and ANSWERS using the search words number hidden nodes Hope this helps. Greg *Thank you for fo...

12 years ago | 0

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I want to make a simple forecasting stock price for 4 companies in Kuala Lumpur Stock Exchange (KLSE) using neural network? How do I start
See your more recent post

12 years ago | 0

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Matlab : how to get method 'tonndata' for input arguments for matlab?
Your version is too old function [x,wasMatrix,err] = tonndata(x,columnSamples,cellTime) %TONNDATA Convert data to stand...

12 years ago | 0

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i want to start working on forecasting stock market price using neural network? any advice...
Although there are only 9 hits in ANSWERS for the search keywords neural stock there are 48 in the NEWSGROUP. Hope thi...

12 years ago | 0

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Answered
plotregression fitlm rsquare difference
>> 0.98364^2 ans = 0.9675 *Thank you for formally accepting my answer* Greg

12 years ago | 1

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