Evolutionary FCMAC-BYY applied to stream data analysis
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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.
|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
|Depositing User:||Dr Daming Shi|
|Date Deposited:||18 Jan 2011 13:43|
|Last Modified:||07 Mar 2017 12:08|
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