Development of particle swarm optimization based rainfall-runoff prediction model for Pahang River, Pekan

M. Romlay, M. Rabani and Rashid, Muhammad Mahbubur and Toha @ Tohara, Siti Fauziah (2016) Development of particle swarm optimization based rainfall-runoff prediction model for Pahang River, Pekan. In: 6th International Conference on Computer and Communication Engineering (ICCCE 2016), 25th-27th July 2016, Kuala Lumpur.

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Abstract

Flooding is a natural disaster which has been occurring annually throughout the whole world. The disaster, such as other natural catastrophe could only be mitigated rather than it being completely solved. Runoff prediction proved to be very vital in pre-flooding management system. In recent years, Artificial Neural Network has been applied in various prediction models of hydrological system. It is proposed to model the rainfall-runoff system of Pahang River in Pekan. Mean rainfall data of 5 hydrological stations are used as the input and water level data as the output. The Artificial Neural Networks are trained with Particle Swarm Optimization. The performances of Artificial Neural Networks were measured with Ackley cost function value. Neural network configuration of 450 number of maximum iteration, 6 number of particles and 1.9 and 2.0 values of Particle Swarm Optimization parameter constant for global best (c1) and Particle Swarm Optimization constant for personal best (c2) respectively shows the highest global best function value. The neural network configuration of 300 number of maximum iteration, 3 numbers of particles and 2.2 value of (c1) and (c2) produces lowest global best function value. The output shows Artificial Neural Network trained by Particle Swarm Optimization can successfully model rainfall-runoff. © 2016 IEEE.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	5486/58177
Uncontrolled Keywords:	-rainfall-runoff; neural network; particle swarm optimization.
Subjects:	T Technology > TD Environmental technology. Sanitary engineering > TD194 Environmental effects of industries and plants
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr Muhammad Rashid
Date Deposited:	27 Sep 2017 16:51
Last Modified:	27 Sep 2017 16:58
URI:	http://irep.iium.edu.my/id/eprint/58177

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