Paper
19 February 1988 Pattern Recognition Using A Neural Network
M. R. Sayeh, J. Y. Han
Author Affiliations +
Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942748
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
Abstract
In this paper we introduce a new "neural" network for pattern recognition based on a gradient system. It is not, however, attempted to model any known behavior of biological neurons. This network stores any number of non-binary patterns (as its limit points) and retrieves them by associative recall. The network does not suffer from erroneous limit points. A realization of the network is given, which have heavily interconnected computing units. Finally two network examples are discussed.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. R. Sayeh and J. Y. Han "Pattern Recognition Using A Neural Network", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942748
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Pattern recognition

Neural networks

Binary data

Dynamical systems

Computer vision technology

Machine vision

Robot vision

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