Hybrid Neural Network and Expert Systems

Hybrid Neural Network and Expert Systems by Larry R. Medsker.

Hybrid Neural Network and Expert Systems presents the basics of expert systems and neural networks, and the important characteristics relevant to the integration of these two technologies. Through case studies of actual working systems, the author demonstrates the use of these hybrid systems in prac...

Full description

Saved in:
Bibliographic Details
Main Author: Medsker, Larry R. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1994.
Edition:1st ed. 1994.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Statistical physics.
Dynamical systems.
System theory.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • I Fundamentals of Hybrid Systems
  • 1 Overview of Neural and Symbolic Systems
  • 2 Research in Hybrid Neural and Symbolic Systems
  • 3 Models for Integrating Systems
  • II Case Studies of Hybrid Neural Network and Expert Systems
  • 4 LAM Hybrid System for Window Glazing Design
  • 5 Hybrid Systems Approach to Nuclear Plant Monitoring
  • 6 Chemical Tank Control System
  • 7 Image Interpretation Via Fusion of Heterogeneous Sources Using a Hybrid Expert-Neural Network System
  • 8 Hybrid System for Multiple Target Recognition
  • III Analysis and Guidelines
  • 9 Guidelines for Developing Hybrid Systems
  • 10 Tools and Development Systems
  • 11 Summary and the Future of Hybrid Neural Network and Expert Systems
  • References.

Similar Items