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Online FCMAC-BYY Model with Sliding Window

  • Jiacai Fu
  • Thi Tra Giang Dang
  • Minh Nhut Nguyen
  • Daming Shi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5552)

Abstract

The online Bayesian Ying Yang (BYY) learning using clustering algorithm has been recently applied to Fuzzy CMAC in order to find the optimal centroids and widths of the fuzzy clusters. However, this BYY model is based on wholly-database, in which each data has a uniform contribution in forecasting future value, but it is not suitable for online applications in which the recent data are considered as more relevant. This research aims to propose an online learning algorithm for FCMAC-BYY based on sliding window. The experimental results show that the proposed model outperforms the existing representative techniques.

Keywords

Bayesian Ying-Yang learning FCMAC Online learning Sliding window 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jiacai Fu
    • 1
  • Thi Tra Giang Dang
    • 2
  • Minh Nhut Nguyen
    • 2
  • Daming Shi
    • 2
  1. 1.School of Electrical and Information EngineeringHeilongjiang Institute of Science and TechnologyHarbinChina
  2. 2.School of Computer EngineeringNanyang Technological UniversitySingapore

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