Rainfall-runoff modelling using adaptive neuro-fuzzy inference system

• Main Authors: Nurul Najihah, Che Razali, Ngahzaifa, Ab. Ghani, Syifak Izhar, Hisham, Shahreen, Kasim, Widodo, Nuryono Satya, Sutikno, Tole
• Format: Article
• Language: English
• Published: Institute of Advanced Engineering and Science 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://umpir.ump.edu.my/id/eprint/27154/1/21145-40184-1-PB.pdf; http://umpir.ump.edu.my/id/eprint/27154/; http://doi.org/10.11591/ijeecs.v17.i2.pp1117-1126; http://doi.org/10.11591/ijeecs.v17.i2.pp1117-1126
• Institution: Universiti Malaysia Pahang

This paper discusses the working mechanism of ANFIS, the flow of research, the implementation and evaluation of ANFIS models, and discusses the pros and cons of each option of input parameters applied, in order to solve the problem of rainfall-runoff forecasting. The rainfall-runoff modelling consi...