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Real-time rainfall-runoff modelling by dynamic evolving Neuro-fuzzy systems

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thesis
posted on 2019-06-25, 07:59 authored by TAK KWIN CHANG
Rainfall-runoff modelling is an important field in hydrologic research for resolving many of the hydrological problems such as urban planning and flood forecasting. This thesis describes the development of a real-time flood forecasting tool which was tested under various land and climate conditions.

History

Campus location

Malaysia

Principal supervisor

Amin Talei

Additional supervisor 1

Valentijn Pauwels

Year of Award

2019

Department, School or Centre

Civil Engineering

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering

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