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Implementation of modified cuckoo search algorithm on functional link neural network for climate change prediction via temperature and ozone data

Abu Bakar, Siti Zulaikha and Ghazali, Rozaida and Ismail, Lokman Hakim and Herawan, Tutut and Lasisi, Ayodele (2014) Implementation of modified cuckoo search algorithm on functional link neural network for climate change prediction via temperature and ozone data. In: Proceedings of The First International Conference on Soft Computing and Data Mining (SCDM-2014) Universiti Tun Hussein Onn Malaysia, Johor, MalaysiaJune 16th-18th, 2014, June 16th-18th, 2014, Johor, Malaysia.

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Abstract

The effect of climate change presents a huge impact on the development of a country. Furthermore, it is one of the causes in determining planning activities for the advancement of a country. Also, this change will have an adverse effect on the environment such as flooding, drought, acid rain and extreme temperature changes. To be able to avert these dangerous and hazardous developments, early predictions regarding changes in temperature and ozone is of utmost importance. Thus, neural network algorithm namely the Multilayer Perceptron (MLP) which applies Back Propagation algorithm (BP) as their supervised learning method, was adopted for use based on its success in predicting various meteorological jobs. Nevertheless, the convergence velocity still faces problem of multi layering of the network architecture. As consequence, this paper proposed a Functional Link Neural Network (FLNN) model which only has a single layer of tunable weight trained with the Modified Cuckoo Search algorithm (MCS) and it is called FLNN-MCS. The FLNN-MCS is used to predict the daily temperatures and ozone. Comprehensive simulation results have been compared with standard MLP and FLNN trained with the BP. Based on the extensive output, FLNN-MCS was proven to be effective compared to other network models by reducing prediction error and fast convergence rate.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: MLP; BP; FLNN; FLNN-MCS; ozone; temperature; climate; changes; prediction.
Subjects: Q Science > QC Physics
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Mrs Hasliza Hamdan
Date Deposited: 13 Aug 2018 03:32
Last Modified: 13 Aug 2018 03:32
URI: http://eprints.uthm.edu.my/id/eprint/9799
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