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how i will get the predicted output from this neural network program?
The short answer is MSE00 = var(T,1,2) % 1051.1 MSE of the naive Y = mean(T) model Z = cell2mat(Y) % seq2con(Y) is...

14 years ago | 0

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I tried to create a neural networks but what's wrong ?
Please do not use the answer space for comments and/or asking additional unrelated questions. The zeros in the weight vecto...

14 years ago | 0

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[ PLEASE HELP !!!! ( Neural Network Time Series Tools ) "forecasting" ]
I have appllied your openloop code, with revisions, to the simplenar_data set. As a result, I have a few comments: 1. ALW...

14 years ago | 0

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what is the best size of input data for neural network?
% i am doing a speech recognition project; after performing MFC i got a almost a huge matrix 4903x1;(for a single sample). ...

14 years ago | 0

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How to resolve the strange behavior of trained NARX neural Networks that generate outputs different than expected by theory.
The most common reason for disagreement between results like y1 = sim( net, x ) and y2 = b2 + LW * tansig( IW * x + b1...

14 years ago | 0

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Is it necessary to initialized the wieghts for retraining in matlab with nntool?
Some creation functions like newff, newfit, newpr, fitnet, patternnet and feedforwardnet are self initializing with random weigh...

14 years ago | 0

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I have questions about adapt function of neural network toolbox
The basic differences between adapt and train are: 1. Train uses batch updating. Each epoch all of the data is passed through...

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How can I compute regression coefficients for two or more output variables?
If [ N I ] = size(X) [ N O ] = size(Y) the linear model is Y = [ones(N,1) X ] * B where B = Y / [ones(N,1)...

14 years ago | 0

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Control the epochs while training a neural network
The purpose of training is to reduce mse to a reasonably low value in as few epochs as possible. When training is sufficiently l...

14 years ago | 2

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Can i create 3 or 4 layer using nntool????
The neural net with one hidden layer is a universal approximator. It will fit any bounded piecewise continuous function with...

14 years ago | 1

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Answered
i used z score to normalize my actual data to predict using NNtoolbox. can any one tell me how to denormalize my predicted data.
If you normalize your target data using [ t meanT stdT] = zscore(T) and the normalized output data is y = sim(net,x); ...

14 years ago | 2

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Answered
I tried to create a neural networks but what's wrong ?
1. You need the same number of training targets as you have inputs. [I N ] = size(trainInputs) [ O N ] = size(trainOutp...

14 years ago | 0

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Neural network on Matlab (doubt)
This is a pattern recognition or classification problem. Therefore, use patternnet. Data normalization and denormalization w.r....

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I need help with back propagation algorithm implementation !
You have to learn all of the cases simultaneously. If you learn the twos and then learn the threes, the twos will be forgott...

14 years ago | 0

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How can i stop the neural network after just one iteration ?
To design an I-H-O feedforward multilayer perceptron (with H hidden nodes) using Ntrn input/target training pairs with dimension...

14 years ago | 3

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How can i stop the neural network after just one iteration ?
>Hi i am a master student and i am developping a matlab code for evolutionary >neural network so the training algorithm is...

14 years ago | 1

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HI... I am new to work with neural networks in matlab...
You want to single out one 56 dimensional binary vector out of 8^56-1 alternatives. Calculate the hamming distance between th...

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question about convolution and foureir transformations
Since you cannot get an explicit symbolic expression, obtain a numerical result using conv(a,b) or ifft(fft(a).*fft(b))

14 years ago | 0

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adaptive filtering by using uncorrelativity feature
The cross correlation function of two signals is calculated using the zero-mean/unit-variance zscores. Therefore it is invariant...

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Automatic Best Curve Fitting
It is not clear whether you want 1. To fit the sampled data containing noise and measurement error as closely as possible ...

14 years ago | 0

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How can I forecast an integer related to other 5 numbers?
% 70% of the 10 NN solutions using H = 1 hidden node yield good solutions with adjusted R^2 ~ 0.98. Running time ~ 7 sec cl...

14 years ago | 1

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Can I use the network from 'nftool' output to predict other data?
If the old and new data can be considered to be samples from the same probability distribution, then ynew = net(xnew); sho...

14 years ago | 0

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input to a custom network
% Read in the 11 sheets and combine to obtain a data matrix with size(data) = [ 5 1067 ] (1067 = 11*97) close all, clear all...

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Question

How to use a trained narx network with only input variable ?
%?How to use a trained narx network with only input variable % Asked by Leon on 17 Aug 2012 at 7:14 > I am using the NARX...

14 years ago | 0 answers | 0

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answers

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how to create target matrix
%Example classindex = [ 1:2:9 10:-2:2 ] target = ind2vec(classindex) % Hope this helps.

14 years ago | 0

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Mass spring system equation help
There appears to be 2 straightforward approaches: 1. For c1=c/2m, k1=k/m and sufficiently small dt(i) = t(i)-t(i-1) ...

14 years ago | 0

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How to know seed directly?
I think it is better to determine the seed before you generate the random numbers. In particular, Either assign the seed fir...

14 years ago | 0

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Testing MATLAB to the limits!
help memory doc memory Pre-allocate space as much as possible. Greg

14 years ago | 0

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am i using the results of the neural network fitting tool correctly?
The neural network is just a model that characterizes the I/O mapping of the design (train+val) data. If nondesign data doesn'...

14 years ago | 0

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Answered
Simple Linear Neural Network Weights from Training , are not compatable with training results, cant understand why… Matlab 2011a
Feedforwardnet automatically uses mapminmax to transform inputs and targets to [-1,1]. help feedforwardnet doc feedforwar...

14 years ago | 0