1 February 1991 Improved adaptive resonance theory
Author Affiliations +
Proceedings Volume 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods; (1991) https://doi.org/10.1117/12.25195
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
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. 1.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Frank Yeong-Chya Shih, Jenlong Moh, "Improved adaptive resonance theory", Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); doi: 10.1117/12.25195; https://doi.org/10.1117/12.25195
PROCEEDINGS
11 PAGES


SHARE
RELATED CONTENT


Back to Top