Rainfall-runoff Modelling in a Semi-urbanized Catchment using Self-adaptive Fuzzy Inference Network

Tak Kwin Chang, Amin Talei, Chai Quek

2018

Abstract

Conventional neuro-fuzzy systems used for rainfall-runoff (R-R) modelling generally employ offline learning in which the number of rules and rule parameters need to be set by the user in calibration stage. This make the rule-base fixed and incapable of being adaptive if some rules become inconsistent over time. In this study, the Self-adaptive Fuzzy Inference Network (SaFIN) is used for R-R application. SaFIN benefits from an adaptive learning mechanism which allows it to remove inconsistent and obsolete rules over time. SaFIN models are developed to capture the R-R process in two catchments including Dandenong located in Victoria, Australia, and Sungai Kayu Ara catchment in Selangor, Malaysia. Models’ performance aer then compared with the ANFIS, ARX, and physical models. Results show that SaFIN outperforms ANFIS, ARX, and physical models in simulating runoff for both low and peak flows. This study shows the good potential of using SaFIN in R-R modelling application.

Paper Citation

in Harvard Style

Chang T., Talei A. and Quek C. (2018). Rainfall-runoff Modelling in a Semi-urbanized Catchment using Self-adaptive Fuzzy Inference Network. In Proceedings of the 10th International Joint Conference on Computational Intelligence (IJCCI 2018) - Volume 1: IJCCI; ISBN 978-989-758-327-8, SciTePress, pages 86-97. DOI: 10.5220/0007227300860097

in Bibtex Style

@conference{ijcci18,
author={Tak Kwin Chang and Amin Talei and Chai Quek},
title={Rainfall-runoff Modelling in a Semi-urbanized Catchment using Self-adaptive Fuzzy Inference Network},
booktitle={Proceedings of the 10th International Joint Conference on Computational Intelligence (IJCCI 2018) - Volume 1: IJCCI},
year={2018},
pages={86-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007227300860097},
isbn={978-989-758-327-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Computational Intelligence (IJCCI 2018) - Volume 1: IJCCI
TI - Rainfall-runoff Modelling in a Semi-urbanized Catchment using Self-adaptive Fuzzy Inference Network
SN - 978-989-758-327-8
AU - Chang T.
AU - Talei A.
AU - Quek C.
PY - 2018
SP - 86
EP - 97
DO - 10.5220/0007227300860097
PB - SciTePress