State-of-the-art development of two-waves artificial intelligence modeling techniques for river streamflow forecasting

• Main Authors: Tan, Woon Yang, Lai, Sai Hin, Teo, Fang Yenn, El-Shafie, Ahmed
• Format: Article
• Published: Springer 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/40971/
• Institution: Universiti Malaya

Streamflow forecasting is the most well studied hydrological science but still portray numerous unknown knowledge. The conventional physical-based model is unable to yield a high accuracy of forecast due to the embedded noises, non-linear and stochastic nature of hydrological data. This paper is to...