Title | ||
---|---|---|
Properties of learning knowledge-based controllers for robotic workcells and dynamic systems |
Abstract | ||
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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 grant | 1 | 3 | 3.32 |
Gordon K. Lee | 2 | 96 | 29.59 |