A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series
Abstract Aiming to solve the problems of low accuracy of multi-step prediction and difficulty in determining the maximum number of prediction steps of chaotic time series, a multi-step time series prediction model based on the dilated convolution network and long short-term memory (LSTM), named the...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer International Publishing,
2021-09-20T17:17:10Z.
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| Subjects: | |
| Online Access: | Get fulltext |