Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration.

Akiner, Muhammed Ernur; Ghasri, Mehdi

Akiner, Muhammed Ernur; Ghasri, Mehdi.

Affiliation

Akiner ME; Vocational School of Technical Sciences, Department of Environmental Protection Technologies, Akdeniz University, Antalya, Turkey. ernurakiner@akdeniz.edu.tr.
Ghasri M; Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, Iran.

Environ Sci Pollut Res Int ; 31(30): 42719-42749, 2024 Jun.

Article in En | MEDLINE | ID: mdl-38879646

Subject(s)
Key words

Adaptive network-based fuzzy inference system; Deep belief network (DBN); Forecasting; Hybrid artificial intelligence; Potential evapotranspiration; Snake optimizer

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Fuzzy Logic Language: En Journal: Environ Sci Pollut Res Int Journal subject: SAUDE AMBIENTAL / TOXICOLOGIA Year: 2024 Document type: Article Affiliation country: Turquía Country of publication: Alemania

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