Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Connectionist Expert System

Chapter 64
Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
Expert systems that use artificial neural networks to develop their knowledge bases and to make inferences are called connectionist expert systems. A classical expert system is defined with IF-THEN rules, explicitly. In a connectionist expert system, training examples are used by employing the generalization capability of a neural network, in which the network is coded in the rules of an expert system. The neural network models depend on the processing elements that are connected through weighted connections. The knowledge in these systems is represented by these weights. The topology of the connections are explicit representations of the rules.
Published in Chapter:
Differential Learning Expert System in Data Management
R. Manjunath (Bangalore University, India)
Copyright: © 2009 |Pages: 8
DOI: 10.4018/978-1-60566-242-8.ch064
Abstract
Expert systems have been applied to many areas of research to handle problems effectively. Designing and implementing an expert system is a difficult job, and it usually takes experimentation and experience to achieve high performance. The important feature of an expert system is that it should be easy to modify. They evolve gradually. This evolutionary or incremental development technique has to be noticed as the dominant methodology in the expert-system area. The simple evolutionary model of an expert system is provided in B. Tomic, J. Jovanovic, & V. Devedzic, 2006. Knowledge acquisition for expert systems poses many problems. Expert systems depend on a human expert to formulate knowledge in symbolic rules. The user can handle the expert systems by updating the rules through user interfaces (J. Jovanovic, D. Gasevic, V. Devedzic, 2004). However, it is almost impossible for an expert to describe knowledge entirely in the form of rules. An expert system may therefore not be able to diagnose a case that the expert is able to. The question is how to extract experience from a set of examples for the use of expert systems.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR