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Accession Number:
ADP007169
Title:
Neural Network Learning Systems: An Overview,
Corporate Author:
YALE UNIV NEW HAVEN CT DEPT OF COMPUTER SCIENCE
Report Date:
1992-01-01
Abstract:
Neural Network Learning Systems are models which are loosely inspired by notions of how self-organization and learning in biological systems might occur. These models are closely related to many established pattern recognition, classification, and regression techniques. Many exciting applications of these methods are being pursued, including nervous system modeling, robotics, signal processing, zipcode and speech recognition, speech production, computer backgammon, and financial analysis. This short paper is intended as a pointer to some of the vast literature covering this field.
Supplementary Note:
This article is from 'Computing Science and Statistics: Proceedings of the Symposium on the Interface Critical Applications of Scientific Computing: Biology, Engineering, Medicine, Speech Held in Seattle, Washington on 21-24 April 1991,' AD-A252 938, p360-361.
Pages:
0002
File Size:
0.00MB
