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Runoff Modelling using different member ship functions in Adaptive Neuro fuzzy inference system

Year: 2014

Type: article

Abstract: —Rainfall runoff modelling using adaptive neuro fuzzy inference system has been presented. In the present study ANFIS models are developed using different membership functions Triangular, Trapezoidal, Bell-shaped, Sigmoid and Gaussian method. All the models are compared with the statistical tests. West flowing river Nethravathi located in Karnataka, India has been selected as study area. It was observed that adaptive neuro fuzzy inference system using Triangular membership function show a good performance compared to other models developed. Keywords-Membership functions, Artificial neuro fuzzy inference system, Rainfall runoff. I.

Source: International Journal of Advances in Engineering Sciences (RG Journals of Scientific Research)

Authors: C Chandre Gowda, S. G. Mayya

Institution: National Institute of Technology Karnataka

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W69812265

FWCI:

Cites: 10

Cited by: 3

Related to: 10