MATLAB: Data prediction using neural network

data pediction using neural networkMATLAB

I have data like{ x1,x2, x3,x4,…………}and target data will be {x2, x3,x4,…………}i.e, (xi,yi)where yi=X(i+1) now how to train and how to predict

Best Answer

 help narxnet
 doc narxnet

additional examples to practice with

 help nndatasets
 doc nndatasets

Search both the NEWSGROUP and ANSWERS using

 narxnet

Hope this helps.

Thank you for formally accepting my answer

Greg

Related Solutions

MATLAB: Tidal prediction

Hi Dany, you are most likely not scaling the estimates by the length of the input vector. For example.

t = 0:0.001:1-0.001;
x = cos(2*pi*100*t-pi/4)+0.5*randn(size(t));
xdft = fft(x);
xdft = xdft(1:length(x)/2+1);
xdft(2:end-1) = 2*xdft(2:end-1);
xdft = xdft./length(x);
fprintf('Amplitude at 100 Hz is %3.2f.\n',abs(xdft(101)))     
fprintf('Phase at 100 Hz is %2.3f radians.\n',angle(xdft(101)))

MATLAB: Prediction using Neural Network Toolbox

FITNET is the default MATLAB function for regression and curvefitting

 help fitnet
 doc  fitnet

Hope this helps

Thank you for formally acceptingmy answer

Greg

Best Answer

Related Solutions

MATLAB: Tidal prediction

MATLAB: Prediction using Neural Network Toolbox

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