Title
Properties of learning knowledge-based controllers for robotic workcells and dynamic systems
Abstract
This paper addresses the field of knowledge-based systems, and in particular the sub-field of knowledge-based control systems. The rule-based approach used, particularly in its machine-learning or rule-induction mode, continues as a major theme in the emerging field of data mining - i.e. the extraction of usable insights from large databases
Year
DOI
Venue
2000
10.1109/ICSMC.2000.886018
SMC
Keywords
Field
DocType
data mining,industrial robots,intelligent control,learning (artificial intelligence),learning systems,very large databases,dynamic systems,knowledge-based controllers,knowledge-based systems,large databases,machine learning,robotic workcells,rule induction,rule-based approach,usable insight extraction,control systems,control system,knowledge engineering,dynamic system,learning artificial intelligence,knowledge based system,robot control,knowledge base,aerodynamics,rule based,knowledge based systems
Intelligent control,USable,Robot control,Computer science,Knowledge-based systems,Knowledge engineering,Rule induction,Artificial intelligence,Control system,Dynamical system,Machine learning
Conference
Volume
ISSN
ISBN
2
1062-922X
0-7803-6583-6
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
edward g grant133.32
Gordon K. Lee29629.59