A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting

A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting

Ever since the first introduction of Artificial Intelligence into the field of hydrology, it has further generated immense interest in researching aspects for further improvements to hydrology. This can be seen in the rising number of related works published. This culminated further with the combina...

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Bibliographic Details
Main Authors: Karim Sherif Mostafa Hassan Ibrahim, Yuk Feng Huang, Ali Najah Ahmed, Chai Hoon Koo, Ahmed El-Shafie
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Alexandria Engineering Journal
Subjects:
Artificial intelligence
Artificial Neural Network (ANN)
Support Vector Machine (SVM)
Adaptive Neuro-Fuzzy Inference System (ANFIS)
Optimization Algorithms
Genetic Algorithms (GA)
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682100346X

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http://www.sciencedirect.com/science/article/pii/S111001682100346X

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