DocumentCode
2993420
Title
The research and application of artificial intelligence technology in exploiting the CAD system for windows and doors
Author
He, Haihui ; Shi, Linxiang ; Lin, Chen
Author_Institution
Sch. of Comput. & Inf., Shanghai Second Polytech. Univ., Shanghai, China
fYear
2009
fDate
26-29 Nov. 2009
Firstpage
601
Lastpage
604
Abstract
The research paper is directed to the cutting calculation problem concerning the CAD for windows and doors. By introducing an expert system technology to this problem, this research applies Inference mechanism to automatically generate the cutting calculation, thereby achieving intelligence computerization for windows and doors cutting. Meanwhile, this research proposes to introduce a neural expert system into the application module for selecting windows and door model pattern. Consequently, the selection of window and door patterns becomes more reasonable and the advantages of neural network expert system are fully played out. This paper provides a method by which the artificial intelligence technology is introduced to the exploitation of the CAD system for windows and doors, thereby significantly enhancing the intellectualization of efficiency of the CAD system.
Keywords
CAD; doors; expert systems; inference mechanisms; neural nets; windows (construction); CAD system; artificial intelligence technology; cutting calculation problem; expert system technology; inference mechanism; intelligence computerization; neural network expert system; window-door model pattern; Application software; Artificial intelligence; Artificial neural networks; Computer aided manufacturing; Design automation; Expert systems; Fuzzy logic; Neural networks; Paper technology; Windows; BP Neural Network; CAD; Cutting calculation; Expert system; Selecting the Doors and Windows Pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
Conference_Location
Wenzhou
Print_ISBN
978-1-4244-5266-8
Electronic_ISBN
978-1-4244-5268-2
Type
conf
DOI
10.1109/CAIDCD.2009.5374906
Filename
5374906
Link To Document