Optimization of Artificial Neural Network Transfer Function for Hydrological Modelling: A Review

Optimization of Artificial Neural Network Transfer Function for Hydrological Modelling: A Review

Hydrological modeling is crucial for understanding and predicting water-related processes. Artificial Neural Networks (ANN) have emerged as powerful tools for this purpose, utilizing the structure and functions of the biological brain to model complex patterns and forecast hydrological issues. Henc...

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Bibliographic Details
Main Authors: F. N. Orji, I. E. Ahanekwu, M. C. Ndukwu, E. Ugwu, J. I. Awu, I. U. Joseph, I. Helen
Format: Article
Language:English
Published: Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) 2023-09-01
Series:Journal of Applied Sciences and Environmental Management
Subjects:
artificial neural network;
transfer function;
optimization;
modelling
Online Access:https://www.ajol.info/index.php/jasem/article/view/253981

Internet

https://www.ajol.info/index.php/jasem/article/view/253981

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