Neural Network Learning Systems: An Overview,
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1992
- Accession Number
- ADP007169
Entities
People
- John E. Moody
Organizations
- Yale University