SINE COSINE ALGORITHM BASED NEURAL NETWORK FOR RAINFALL DATA IMPUTATION
The Sine Cosine Algorithm (SCA) is a relatively recent metaheuristic algorithm, drawing inspiration from the characteristics of trigonometric sine and cosine functions. SCA has been widely used to address diverse optimization challenges in several domains. The advantages of SCA can be attributed to...
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| 主要な著者: | , , |
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| フォーマット: | 図書の章 |
| 言語: | English |
| 出版事項: |
Cambridge Scholars Publishing
2024
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| 主題: | |
| オンライン･アクセス: | http://ir.unimas.my/id/eprint/46890/1/Metaheuristic%20Algorithms%20and%20Neural.pdf http://ir.unimas.my/id/eprint/46890/ https://www.cambridgescholars.com/product/978-1-0364-0804-6 |
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