Rainfall-runoff model based on ANN with LM, BR and PSO as learning algorithms

• Main Authors: Mohd Romlay, Muhammad Rabani, Rashid, Muhammad Mahbubur, Toha @ Tohara, Siti Fauziah, Mohd Ibrahim, Azhar
• Format: Article
• Language: English; English
• Published: Blue Eyes Intelligence Engineering & Sciences Publication 2019
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/75086/1/IJRTE_2Rainfall-RinoffModelBasedonANNwithLMBRandPSOasLearningAlgorithmsAzhar.pdf; http://irep.iium.edu.my/75086/7/75086_Rainfall-Runoff%20Model%20Based%20on%20ANN_SCOPUS.pdf; http://irep.iium.edu.my/75086/; https://www.ijrte.org/wp-content/uploads/papers/v8i3/C4115098319.pdf
• Institution: Universiti Islam Antarabangsa Malaysia

Rainfall-runoff model requires comprehensive computation as its relation is a complex natural phenomenon. Various inter-related processes are involved with factors such as rainfall intensity, geomorphology, climatic and landscape are all affecting runoff response. In general there is no single rain...