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Soft-Competitive Learning Paradigms

  • Zhi-Qiang Liu
  • Michael Glickman
  • Yajun Zhang
Part of the Computer Science Workbench book series (WORKBENCH)

Abstract

Learning is the ability to autonomously select, update, and store relevant information in memory; and the ability to predict and create based on what has been learned.

Keywords

Reinforcement Learning Confusion Matrix Learning Cycle Competitive Learning Sample Vector 
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 Tokyo 2000

Authors and Affiliations

  • Zhi-Qiang Liu
  • Michael Glickman
  • Yajun Zhang

There are no affiliations available

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