Original scientific paper
Application of Novel Knowledge Based Paradigms in Computer Aided Manufacturing Process Modeling
Laslo Horvath
; Banki Donat Polytechnic, Budapest, Hungary
Imre J. Rudas
; Banki Donat Polytechnic, Budapest, Hungary
Joseph S. Torok
; Rochester Institute of Technology, Rochester, NY, USA
Agnes Szeghegyi
; Banki Donat Polytechnic, Budapest, Hungary
Abstract
In this paper a knowledge based approach to the computer aided manufacturing process planning (CAPP) is proposed Earlier experiences of authors revealed knowledge acquisition and storage and knowledge based problem solving requirements posed by the decision intensive CAPP. These experiences suggest integration of knowledge based techniques for nonlinear process modeling. The paper is constructed as follows. First, the problems emerged a present day CAP methodologies are explained. Then application of computational intelligence techniques for solving classical CAP problems is analyzed Following this, a new approach to know!edge based CAP based is proposed Finally, the process planning procedure is analyzed and the stages of planning that call for some type of machine learning, inference and uncertainty-handing methodology are identified.
Keywords
knowledge based systems; soft computing; computer aided manufacturing process planning (CAPP); machine learning; Petri nets; neural networks; fuzzy reasoning
Hrčak ID:
78996
URI
Publication date:
14.6.1996.
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