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Artificial bee colony algorithm for predicting tsunami intensity

Habib Shah, Habib Shah and Ghazali , Rozaida and Mohd Nawi, Nazri (2011) Artificial bee colony algorithm for predicting tsunami intensity. In: Malaysian Technical Universities International Conference on Engineering and Technology (MUiCET'11), 13-15 November 2011, Batu Pahat, Malaysia.

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Prediction of tsunami was focused by researchers due to its devastating intensity among other disasters in the world, especially after the Indian Ocean tsunami in December 2004. For natural disaster events scientists take an interest in social insects for classification, analyses and prediction to get optimal solution. Artificial bee colony (ABC) algorithm based on the natural behaviour of artificial bee is proposed here for prediction of tsunami parameters caused by undersea earthquakes. An artificial bee colony algorithm is used for prediction of earthquake magnitude, which is the most important parameter for tsunami intensity but for training the multilayer perception to predict the tsunami parameter. Experimental results will be benchmarked against the back propagation algorithm.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: artificial bee colony algorithm; backpropagation; multilayer perception
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
Depositing User: Normajihan Abd. Rahman
Date Deposited: 22 Jan 2013 05:23
Last Modified: 21 Jan 2015 07:13
URI: http://eprints.uthm.edu.my/id/eprint/2957
Statistic Details: View Download Statistic

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