Optimum design of truss structures using neural network

Seong B. Kim, Young Sang Cho, Dong Cheol Shin, Jun Seo Bae

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this paper is to verify the applicability of the prototype of the Neural Network base model for Optimum Structural Design(NNOSD) to search the optimum design in all cases immediately. NNOSD suggest the procedure of the optimum design and the proper values of the neural network variables(training pattern, number of hidden neurons, maximum training error, steepness coefficient, learning constant, momentum term, etc.) to reduce the computer time and to improve the accuracy. And the methods of the connection between NNOSD and the existing design system is presented.

The artificial neural network is used as an alternative design model of the warren truss since it
can handle uncertainty through the probability method.
Original languageEnglish
Title of host publicationSB07 Seoul
Subtitle of host publicationProceedings of the International Conference on Sustainable Building Asia, 27-29 June 2007, Seoul, Korea
Pages1073-1078
Publication statusPublished - 2007
Externally publishedYes

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Kim, S. B., Cho, Y. S., Shin, D. C., & Bae, J. S. (2007). Optimum design of truss structures using neural network. In SB07 Seoul: Proceedings of the International Conference on Sustainable Building Asia, 27-29 June 2007, Seoul, Korea (pp. 1073-1078) http://www.irbnet.de/daten/iconda/CIB7955.pdf