Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test

Daily pan-evaporation estimation in different agro-climatic zones using novel hybrid support vector regression optimized by Salp swarm algorithm in conjunction with gamma test

Ensuring accurate estimation of evaporation is weighty for effective planning and judicious management of available water resources for agricultural practices. Thus, this work enhances the potential of support vector regression (SVR) optimized with a novel nature-inspired algorithm, namely, Slap Swa...

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Bibliographic Details
Main Authors: Anurag Malik, Yazid Tikhamarine, Nadhir Al-Ansari, Shamsuddin Shahid, Harkanwaljot Singh Sekhon, Raj Kumar Pal, Priya Rai, Kusum Pandey, Padam Singh, Ahmed Elbeltagi, Saad Shauket Sammen
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
evaporation
gamma test
nature-inspired algorithms
haryana
punjab
Online Access:http://dx.doi.org/10.1080/19942060.2021.1942990

Internet

http://dx.doi.org/10.1080/19942060.2021.1942990

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