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"Hybridized artificial intelligence models with nature-inspired algorithms ..."

Hai Tao et al. (2024)

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DOI: 10.1016/J.ENGAPPAI.2023.107559

access: closed

type: Journal Article

metadata version: 2024-05-31

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  - journals/eaai/TaoAATSSSMDBGJABHGHASASY24
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  - https://dblp.org/rec/journals/eaai/TaoAATSSSMDBGJABHGHASASY24
Hai Tao, Sani Isah Abba, Ahmed M. Al-Areeq, Fredolin Tangang, Sandeep Samantaray, Abinash Sahoo, Hugo Valadares Siqueira, Saman Maroufpoor, Vahdettin Demir, Neeraj Dhanraj Bokde, Leonardo Goliatt, Mehdi Jamei, Iman Ahmadianfar, Suraj Kumar Bhagat, Bijay Halder, Tianli Guo, Daniel S. Helman, Mumtaz Ali, Sabaa Sattar, Zainab Al-Khafaji, Shamsuddin Shahid, Zaher Mundher Yaseen:
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions. Eng. Appl. Artif. Intell. 129: 107559 (2024)

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