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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Blue Eyes Intelligence Engineering & Sciences Publication
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/75086/ http://irep.iium.edu.my/75086/ http://irep.iium.edu.my/75086/ 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 |
Internet
http://irep.iium.edu.my/75086/http://irep.iium.edu.my/75086/
http://irep.iium.edu.my/75086/
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