Improved adaptive resonance theory

Frank Y. Shih, Jenlong Moh

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Adaptive resonance theory (ART) has been used to develop neural network architectures in order to self-organize pattern recognition codes stably in real-time in response to random input sequences of patterns. A brief background of the motivations and design considerations underlying the development of adaptive resonance networks, an outline of their basic operation, a new idea for improving the model, and some experimental results are discussed in this article.

Original languageEnglish (US)
Pages (from-to)26-36
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1382
StatePublished - Jan 1 1991
EventIntelligent Robots and Computer Vision IX: Neural, Biological, and 3-D Methods - Boston, MA, USA
Duration: Nov 7 1990Nov 9 1990

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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