Evolutionary FCMAC-BYY applied to stream data analysis.

Shi, Daming and Loomes, Martin J. and Nguyen, Minh Nhut (2010) Evolutionary FCMAC-BYY applied to stream data analysis. Lecture Notes in Computer Science, 6457 . pp. 187-194. ISSN 0302-9743

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Official URL: http://dx.doi.org/10.1007/978-3-642-17298-4_19

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Abstract

A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. Stream data analysis is a critical issue in many application areas such as network fraud detection, stock market prediction, and web searches. In this research, our previously proposed FCMAC-BYY, that uses Bayesian Ying-Yang (BYY) learning in the fuzzy cerebellar model articulation controller(FCMAC), will be advanced by evolutionary computation and dynamic rule construction. The developed FCMAC-EBYY has been applied to a real-time stream data analysis problem of traffic flow prediction. The experimental results illustrate that FCMAC-EBYY is indeed capable of producing better performance than other representative neuro-fuzzy systems.

Item Type:Article
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Conference details: Simulated Evolution and Learning, 8th International Conference, SEAL 2010. Held at Kanpur, India, December 1-4, 2010.

Research Areas:School of Science and Technology > Science & Technology
Citations on ISI Web of Science:0
ID Code:6866
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Deposited On:18 Jan 2011 13:43
Last Modified:04 Jun 2013 15:00

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