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Evolutionary FCMAC-BYY Applied to Stream Data Analysis

  • D. Shi
  • M. Loomes
  • M. N. Nguyen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6457)

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.

Keywords

Cerebellar Model Articulation Controller Neural Network Ensemble Coevolutionary Algorithm Traffic Prediction Artificial Neural Network Ensemble 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • D. Shi
    • 1
  • M. Loomes
    • 1
  • M. N. Nguyen
    • 2
  1. 1.School of Engineering and Information SciencesMiddlesex UniversityLondonUK
  2. 2.School of Electrical and Electronics EngineeringNanyang Technological UniversitySingapore

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