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MATLAB implements DNN deep neural network multivariate time series forecasting
MATLAB implements DNN deep neural network multivariate time series forecasting
The following is a code example for implementing DNN deep neural network multivariate time series forecasting using MATLAB.
Among them, 'train_data' and 'test_data' are the data of the training set and the test set respectively, 'num_features' indicates the number of features (multivariate) contained in the data set, and 'layers' defines the network structure and related parameters of the DNN model