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Proceedings Paper

Recent progress in neural networks
Author(s): Jan J. Mulawka
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Paper Abstract

In the past several years, much progress has been made in neural network technology. Neural networks have been used in many applications of signal processing to classify different sets of patterns. This paper presents some of the trends relevant to application of neural technology. No comprehensive review of the state of the art is attempted. Rather, the emphasis is selectively on certain current trends, as new ideas, that in the author's opinion show promise for the future. However, the reader should note that neural network technology is in a state of flux with several alternative theoretical models and approaches. The paper deals with the practical aspects of the research in neural networks. The basic concepts of neural networks and progress in learning algorithms are briefly reviewed, followed by a discussion of the trends relevant to hardware implementations of these networks. Finally, hybrids comprising neural networks, expert systems, and genetic algorithms are considered.

Paper Details

Date Published: 1 August 1992
PDF: 11 pages
Proc. SPIE 1783, International Conference of Microelectronics: Microelectronics '92, (1 August 1992); doi: 10.1117/12.131042
Show Author Affiliations
Jan J. Mulawka, Warsaw Univ. of Technology (Poland)

Published in SPIE Proceedings Vol. 1783:
International Conference of Microelectronics: Microelectronics '92
Andrzej Sowinski; Jan Grzybowski; Witold T. Kucharski; Ryszard S. Romaniuk, Editor(s)

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