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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...

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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...

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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...

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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). ...

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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...

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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...

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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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Respondida
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)...

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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...

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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...

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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); ...

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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...

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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...

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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...

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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...

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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))

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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 ...

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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...

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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...

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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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Pregunta

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...

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respuestas

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

alrededor de 14 años hace | 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) ...

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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...

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

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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'...

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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...

alrededor de 14 años hace | 0