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H. Furuta, K. Sugiura, T. Tonegawa and E. Watanabe

Department of Civil Engineering, Kyoto University, Japan

doi:10.4203/ccp.13.11.2

H. Furuta, K. Sugiura, T. Tonegawa, E. Watanabe, "A Neural Network System for Aesthetic Design of Dam Structures", in B.H.V. Topping, (Editor), "Artificial Intelligence and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 273-278, 1991. doi:10.4203/ccp.13.11.2

Abstract

In this study, paying attention to the steps of making master plan and evaluating dam configuration and view for the aesthetic design of dam structures, an attempt is made to develop a decision-making supporting syst.ein aided by neural network system and computer graphics. The present system was built on a 32-bit microcomputer whose main memory is 640KB and extended to 2MB RAM and Math coprocessor; therefore, anyone can use this system without difficulty. Using the neural network computation, it is possible to choose an adequate configuration from several alternatives without difficulty.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 13 ARTIFICIAL INTELLIGENCE AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping Paper XI.2 A Neural Network System for Aesthetic Design of Dam Structures H. Furuta, K. Sugiura, T. Tonegawa and E. Watanabe Department of Civil Engineering, Kyoto University, Japan doi:10.4203/ccp.13.11.2 purchase the full-text of this paper Full Bibliographic Reference for this paper H. Furuta, K. Sugiura, T. Tonegawa, E. Watanabe, "A Neural Network System for Aesthetic Design of Dam Structures", in B.H.V. Topping, (Editor), "Artificial Intelligence and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 273-278, 1991. doi:10.4203/ccp.13.11.2 Abstract In this study, paying attention to the steps of making master plan and evaluating dam configuration and view for the aesthetic design of dam structures, an attempt is made to develop a decision-making supporting syst.ein aided by neural network system and computer graphics. The present system was built on a 32-bit microcomputer whose main memory is 640KB and extended to 2MB RAM and Math coprocessor; therefore, anyone can use this system without difficulty. Using the neural network computation, it is possible to choose an adequate configuration from several alternatives without difficulty. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £60 +P&P)
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