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Modelling hydrological responses under climate change using machine learning algorithms – semi-arid river basin of peninsular India
Resource type
Report
Authors/contributors
- Naidu, G. Sireesha (Author)
- Pratik, M. (Author)
- Rehana, S. (Author)
Title
Modelling hydrological responses under climate change using machine learning algorithms – semi-arid river basin of peninsular India
Abstract
Evolutionary algorithms and allied fields are getting more visibility as well as familiarity due to their numerous flexibilities such as handling high-dimensional non-linear problems and more. This book will help budding researchers to formulate their research problems, and comprises 10 chapters: three on optimization, five on machine learning algorithms, one on Internet of Things, and one on remote sensing.In Focus–a book series that showcases the latest accomplishments in water research. Each book focuses on a specialist area with papers from top experts in the field. It aims to be a vehicle for in-depth understanding and inspire further conversations in the sector.
Date
2022-07-15
Call Number
openalex: W4391700651
Extra
DOI: 10.2166/9781789064438_ch8
openalex: W4391700651
Citation
Naidu, G. S., Pratik, M., & Rehana, S. (2022). Modelling hydrological responses under climate change using machine learning algorithms – semi-arid river basin of peninsular India. https://doi.org/10.2166/9781789064438_ch8
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