Evolutionary FCMAC-BYY applied to stream data analysis

Article

Shi, D., Loomes, M. and Nguyen, M. 2010. Evolutionary FCMAC-BYY applied to stream data analysis. Lecture Notes in Computer Science. 6457, pp. 187-194. https://doi.org/10.1007/978-3-642-17298-4_19
TypeArticle
TitleEvolutionary FCMAC-BYY applied to stream data analysis
AuthorsShi, D., Loomes, M. and Nguyen, M.
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.

Research GroupArtificial Intelligence group
SensoLab group
PublisherSpringer
JournalLecture Notes in Computer Science
ISSN0302-9743
Publication dates
Print01 Dec 2010
Publication process dates
Deposited18 Jan 2011
Output statusPublished
Additional information

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

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-642-17298-4_19
LanguageEnglish
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