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035 _a.b11785895
099 9 _aAIT Thesis no.ISE-99-20
100 0 _aThan Lin
245 1 0 _aExpert system for die and mold making cost estimation
260 _aBangkok :
_bAsian Institute of Technology,
_c1999
300 _a194 p.:
_bill.
490 1 _aThesis ;
_vno. ISE-99-20
502 _aThesis (M.Eng.) - Asian Institute of Technology
500 _aA thesis submitted in partial fulfillment of requirements for the degree of Master of Engineering, School of Advanced Technologies
520 _aThis thesis study presents an attempt to develop the knowledge based for plastic injection mold cost estimation. The system is developed in the form of a decision tree structure. Tlu·ough the use of a decision tree structure, numerous interrelated variables and technical data in the injection mold cost estimation process are organized and presented. When the features of a plastic part are input, this system will generate an estimated cost of inj ection mold required to produce the part. The knowledge acquisition has been done from expe1ts in the domain, textbooks, technical papers, database, reports, and real mold making study. The acquired knowledge has been organized by decision tree in seven different modules. This knowledge base system is based on production rules where both declarative and heuristic knowledge has been used. There are approximately 650 production rules in the knowledge base and data are driven forward chaining has been used as searching strategy.
650 1 0 _aExpert systems (Computer science)
650 1 0 _aInjection molding of plastics
_xEstimates
700 1 _aBohez, Erik L.J.,
_eChairperson
700 1 _aNaber, Helmut,
_eExamination committee
700 1 _aHasin, M. A. A.,
_eExamination committee
710 2 _aAsian Institute of Technology Partial Scholarship,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. ISE-99-20
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B12244
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