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

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

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...

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Bibliographic Details
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
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English

Internet

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

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