Codes and rules and their roles as constraints in expert systems for structural design

2010 ◽  
pp. 309-323 ◽  
Author(s):  
SHUICHI FUKUDA
Keyword(s):  
Expert Systems ◽  
Structural Design

The potential of machine learning techniques for expert systems

1989 ◽  
Vol 3 (3) ◽  
pp. 175-193 ◽  
Author(s):  
Yoram Reich ◽  
Steven J. Fenves
Keyword(s):  
Machine Learning ◽  
Expert Systems ◽  
Human Behavior ◽  
Structural Design ◽  
Partial Solution ◽  
Machine Learning Techniques ◽  
Research Directions ◽  
Learning Techniques

Expert systems employing current methodologies suffer from two major problems: they are brittle and their development is time-consuming and tedious.Learning, the key to intelligent human behavior and expertise, has the potential of alleviating these difficulties. The paper reviews a number of machine learning techniques and provides a framework for their classification. The description of each technique is followed by an example taken from the domain of structural design. The applicability of machine learning techniques to expert systems is discussed, including some prototype applications and their shortcomings. Three promising research directions are outlined as a partial solution for the shortcomings.

Applications of expert system building tools in structural design

1991 ◽  
Vol 18 (3) ◽  
pp. 493-503
Author(s):  
K. M. Sakr ◽  
M. U. Hosain
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Knowledge Base ◽  
Structural Design ◽  
Simple Design ◽  
Inference Mechanism ◽  
System Building ◽  
Knowledge Based ◽  
Real World Applications ◽  
Basic Concepts

This paper summarizes the basic concepts of expert systems and describes some of the applications of three commercially available expert system tools. The function of the various components of the tools is explained using simple design examples. It is concluded that a tool can be employed to develop useful expert systems for real-world applications, provided factual and heuristic material is available for creating a knowledge base. Key words: artificial intelligence, knowledge-based expert systems, knowledge base, inference mechanism, expert system building tools, structural design, applications of expert system building tools.

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