Chaotic bidirectional associative memory

Yuko Osana, Motonobu Hattori, Masafumi Hagiwara

Research output: Contribution to conferencePaper

31 Citations (Scopus)

Abstract

A Chaotic Bidirectional Associative Memory (CBAM) is proposed and simulated. It can deal with one-to-many associations such as {(A, a), (A, b), (A, c), ...}. In the CBAM, in order to enable one-to-many associations, each training pair is memorized together with its own contextual information and chaotic neurons are employed in a part of the network corresponding to the contextual information. Since the chaotic neurons change their states by chaos, the one-to-many associations can be realized in the CBAM.

Original languageEnglish
Pages816-821
Number of pages6
Publication statusPublished - 1996 Jan 1
EventProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA
Duration: 1996 Jun 31996 Jun 6

Other

OtherProceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)
CityWashington, DC, USA
Period96/6/396/6/6

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'Chaotic bidirectional associative memory'. Together they form a unique fingerprint.

  • Cite this

    Osana, Y., Hattori, M., & Hagiwara, M. (1996). Chaotic bidirectional associative memory. 816-821. Paper presented at Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4), Washington, DC, USA, .