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About A Review of Deep Learning Models For Time Series Prediction
This document reviews deep learning models for time series prediction. It begins by introducing time series prediction and its importance. It then categorizes deep learning models for time series prediction into discriminative models, generative models, and hybrid models based on their modeling of conditional or joint probabilities. The document evaluates these representative deep learning methods on benchmarks and real-world industrial data to analyze their performance for time series prediction. It concludes by discussing future directions and challenges in this area.
Detailed Information
| Author: | ['Wang Ke'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 16 |
| Language: | English |
| Format: | |
| Price: | FREE |
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