clc;
Clear
Close all
LSTM prediction
tic
Load origin_data.mat
Load emd_data.mat
Load KPCA_data.mat
disp(‘⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯’)
disp(‘Single LSTM prediction’)
disp(‘⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯’)
num_samples = length(X); % number of samples
kim = 5; % delay step (kim historical data as independent variable)
zim = 1; % Predict across zim time points
or_dim = size(X,2);
% Reconstruct the dataset
i = 1: num_samples - kim - zim + 1
res(i, :) = [reshape(X(i: i + kim - 1, :), 1, kim*or_dim), X(i + kim + zim - 1, :)];
End.
% Training and test se
- Categories:
