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Biological Cybernetics

, Volume 81, Issue 4, pp 331–342 | Cite as

Error tolerant associative memory

  • Cheng-Yuan Liou
  • Shao-Kuo Yuan
Article

Abstract.

We present a new approach to enlarging the basin of attraction of associative memory, including auto-associative memory and temporal associative memory. The memory trained by means of this method can tolerate and recover from seriously noisy patterns. Simulations show that this approach will greatly reduce the number of limit cycles.

Keywords

Associative Memory Noisy Pattern 
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 1999

Authors and Affiliations

  • Cheng-Yuan Liou
    • 1
  • Shao-Kuo Yuan
    • 1
  1. 1.Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan, Republic of ChinaTW

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