Deep Learning with Long Short-Term Memory for Time Series Prediction
Abstract
Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values. Learning long-range dependencies that are embedded in time series is often an obstacle for most algorithms, whereas LSTM solutions, as a specific kind of scheme in deep learning, promise to effectively overcome the problem. In this article, we first give a brief introduction to the structure and...
Paper Details
Title
Deep Learning with Long Short-Term Memory for Time Series Prediction
Published Date
Jun 1, 2019
Journal
Volume
57
Issue
6
Pages
114 - 119
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