Accession Number:

ADP007169

Title:

Neural Network Learning Systems: An Overview,

Descriptive Note:

Corporate Author:

YALE UNIV NEW HAVEN CT DEPT OF COMPUTER SCIENCE

Personal Author(s):

• Moody, John E.

Report Date:

1992-01-01

Pagination or Media Count:

2.0

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
• Psychology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE