分散式整合智慧型電腦輔助工程系統於結構工程之應用
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(6) 3456789:;< =>?@ABC%DE FGHI JKLMNOPQJ3R IJMN STUVWXI9 YZ[ \H]^_`abc`d_efgch STUVW6 ijkl mn 8lOopqr stu8lvwxyz{|} ~6Z[qr% 9Oopop]v wx D% 8K)v C%lFqrst6 H]STUVWBvwxB z{|} Abstract Computers are widely used in aiding engineering design. The CAD/CAE systems improve the engineers’ efficiency in computing and data analysis, but are poor in experience dependent tasks. For civil engineering, a highly efficient CAD/CAE system has following characters: fast computing, distribution topology, polymorphism knowledge representation (Object oriented), and intelligence. Herein, we will develop an automated, powerful computer aide environment. The novel. CAD/CAE system is firstly applied to structural engineering. Keywords: Polymorphism, Distribution
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(20) ¼x&'0()½ kyÐWæý* ¾ê-.6 () =>Ã,¯()¿F\? @ABCvÏä ¿Àv C¨[ ÁêC%QPä. 9Âef[3ìÖ23Q UÃÄV¿ÎÅÆ~01 56 () 23qrQ´=>S TUVW()Oop U~±©²³,ǹ 501ºÈׯSTUVW ST SÃ([.L~©ÉÊ6 () ¢ ()lyyvwx %&()\VIP)A BCC%()©\v wx " ~ËÐ ,6 [1] Adeli,H. and Hung,S.L., “Machine Learning: Neural Networks Genetic Algorithms, and Fuzzy System,” John Wiley & Sons, Inc., New york, NY, 1995. [2] Fenves,S.J., Flemming,U., Hendrickson,C., Maher,M.L., and Schmitt,G. ”An Integrated Software Environment for Building Design and Construction,”1998 [3] Ivezic,N. and Garrett,Jr.J.H., “A Neural Network-Based Machine Learning Approach for Supporting Synthesis,” Artificial Intelligence for Engineering Design, Analysis, and Manufacturing, Vol.8, pp.143-161, 1994. [4] Maher,M.L. and Zhang,D.M., “CADSYN:A Case-Based Design Process Model,” Artificial Intelligence for Enginering Design, Analysis and Manufacturing, Vol.7, No.2, pp.97-110, 1993. [5] Hung, S.L. and Jan, J.C. “Machine Learning Engineering Analysis-An Unsupervised Fuzzy Neural Network Learning Model,” Proceedings of Intelligent Information System (IIS’97), Grand Bahama, December 8-10, IEEE Computer Society, Calfornia, pp.156-160, 1997..
(21) [6] Hung, S.L. and Jan, J.C. “Machine Learning Engineering Analysis and Design-An Integrated Fuzzy Neural Network Learning Model,” Computer-Aided Civil and Infrastructure Engineering, 1999.(Accepted) [7] Vanluchene,R.D. and Sun,R., “Neural Networks in Structural Engineering, ” Microcomputers in Civil Engineering 5, pp.207-215, 1990. ̨Ͱ±²BÎÏÐÑÒÓ vC% ÑÔ_Õ> Ö %&¯);<×% q$L÷9Ø÷ #³ | Ù ¦§§³6 ̧ÍÚÛÜBÝÞB´µ¶Ñ ]ABvC% Ñ Ô_Õ> Ö%&¯);<× %q$L÷9Ø÷ ¦¦ Ù¦§§³6 Ì¦Í ßàáB*+¿Bâãä ^¦§§³hÑ=>Ã,%'? [C¨C%ÑÔ_Õ> Ö%&¯);<× %q$L÷9Ø÷ #¦## Ù6.
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