Accession Number : ADP007169
Title : Neural Network Learning Systems: An Overview,
Corporate Author : YALE UNIV NEW HAVEN CT DEPT OF COMPUTER SCIENCE
Personal Author(s) : Moody, John E.
Report Date : 1992
Pagination or Media Count : 2
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.
Descriptors : *NERVOUS SYSTEM, *PATTERN RECOGNITION, *SPEECH RECOGNITION, CLASSIFICATION, COMPUTERS, COVERINGS, LEARNING, MODELS, NETWORKS, PAPER, PATTERNS, PROCESSING, PRODUCTION, RECOGNITION, ROBOTICS, SIGNAL PROCESSING, SIGNALS, SPEECH.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE