The advantages of genetic algorithm and neural networks to forecast air pollution trend in Malaysia: an overview / Mohamad Idham Md Razak … [et al.]

Md Razak, Mohamad Idham and Ahmad, Ismail and Bujang, Imbarine and Talib, Adi Hakim and Kedin, Nor Adila (2012) The advantages of genetic algorithm and neural networks to forecast air pollution trend in Malaysia: an overview / Mohamad Idham Md Razak … [et al.]. In: 3rd International Conference on Public Policy and Social Science ( ICOPS 2012). Faculty of Administrative Science and Policy Studies, Melaka, pp. 606-624. ISBN 978-967-11354-5-7

Abstract

Genetic Algorithms (GAs) are adaptive heuristic search algorithm premised on the evolutionary ideas of natural selection and genetic. The basic concept of GAs is designed to simulate processes in natural system necessary for evolution, specifically those that follow the principles first laid down. As such they represent an intelligent exploitation of a random search within a defined search space to solve a problem. On the other hand, Neural Networks are composed of interconnecting artificial neurons. Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving artificial intelligence problems without necessarily creating a model of a real biological system. Thus, these two methods is the advance model for forecasting technique especially involving air pollution prediction and will be discuss as an overview of methodology in this particular research aspect.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Md Razak, Mohamad Idham
iedham@melaka.uitm.edu.my
Ahmad, Ismail
drismailahamd@salam.uitm.edu.my
Bujang, Imbarine
UNSPECIFIED
Talib, Adi Hakim
adihakim@melaka.uitm.edu.my
Kedin, Nor Adila
noradila_kedin@uitm.edu.my
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences > Environmental conditions. Environmental quality. Environmental indicators. Environmental degradation
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science
Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Algorithms
Divisions: Universiti Teknologi MARA, Melaka > Alor Gajah Campus > Faculty of Administrative Science and Policy Studies
Event Title: International Conference on Public Policy and Social Science
Event Dates: 15 -16
Page Range: pp. 606-624
Keywords: Air Pollution; Genetic Algorithm; Neural Networks
Date: 2012
URI: https://ir.uitm.edu.my/id/eprint/55451
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