Chaotic analog associative memory

H. Imai, Y. Osana, M. Hagiwara

Research output: Contribution to conferencePaperpeer-review


In this paper, we propose a chaotic analog associative memory (CAAM). It can deal with associations of analog patterns including common patterns. The proposed model has the following features: (1) it can deal with associations of analog patterns; (2) it can deal with one-to-many associations; (3) it has robustness for noisy input and neuron damage.

Original languageEnglish
Number of pages6
Publication statusPublished - 2001
EventInternational Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States
Duration: 2001 Jul 152001 Jul 19


OtherInternational Joint Conference on Neural Networks (IJCNN'01)
Country/TerritoryUnited States
CityWashington, DC

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence


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

Cite this