A Comprehensive Review of Swarm-Based Meta-Heuristic Algorithms for Optimizing LSTM Networks in Time Series Forecasting
Time series forecasting, a critical task in various domains, has seen significant advancements with the emergence of deep learning models like Long Short-Term Memory (LSTM) networks. These models excel at capturing temporal dependencies within data, but their performance is highly sensitive to hyper...
| 出版年: | 2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024 |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219566544&doi=10.1109%2fSCOReD64708.2024.10872714&partnerID=40&md5=db119bc7faddf60dcc79a8f7307e1a73 |