Neural-style microsystems that learn
- 1 November 1989
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Magazine
- Vol. 27 (11), 29-36
- https://doi.org/10.1109/35.41398
Abstract
The basic operation of biological and electronic (artificial) neural networks (NNs) is examined. Learning by NNs is discussed, covering supervised learning, particularly back-propagation, and unsupervised and reinforcement learning. The use of VLSI implementation to speed learning is considered briefly. Applications of neural-style learning chips to pattern recognition, data compression, optimization, and expert systems is discussed. Problem areas and issues for further research are addressed.Keywords
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