Evolutionary FCMAC-BYY applied to stream data analysis
Shi, Daming, 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 [Article] (doi:10.1007/978-3-642-17298-4_19)
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 |
|---|---|
| Additional Information: | Conference details: Simulated Evolution and Learning, 8th International Conference, SEAL 2010. Held at Kanpur, India, December 1-4, 2010. |
| Research Areas: | A. > School of Science and Technology > Computer Science A. > School of Science and Technology > Computer Science > Artificial Intelligence group A. > School of Science and Technology > Computer Science > SensoLab group |
| ISI Impact: | 0 |
| Item ID: | 6866 |
| Useful Links: | |
| Depositing User: | Dr Daming Shi |
| Date Deposited: | 18 Jan 2011 13:43 |
| Last Modified: | 07 Mar 2017 12:08 |
| URI: | https://eprints.mdx.ac.uk/id/eprint/6866 |
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