Time series data prediction method based on time series decomposition and LSTM
The invention discloses a time series data prediction method based on time series decomposition and LSTM, and the method comprises the steps: 1, collecting time series data, carrying out the preprocessing of the time series data, obtaining a time series sample set which meets the data demands of a p...
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| creator | JIN DEZHENG LI NIANFENG LI LINA HWANG SEONG-GYU |
| description | The invention discloses a time series data prediction method based on time series decomposition and LSTM, and the method comprises the steps: 1, collecting time series data, carrying out the preprocessing of the time series data, obtaining a time series sample set which meets the data demands of a prediction model, carrying out the division of a training set and a test set, and obtaining a first training set and a first test set; step 2, establishing a first neural network for trend component and remainder prediction based on LSTM, performing training and parameter adjustment through the first training set, predicting the first training set by using a trained first neural network model to obtain a trend component and remainder prediction result of the first training set, and further processing the prediction result into a second training set; step 3, establishing a second neural network based on ANN, and performing training and parameter adjustment through a second training set; and 4, performing joint predic |
| format | Patent |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Time series data prediction method based on time series decomposition and LSTM |
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