Application of a neuro-fuzzy system for optimization of structural design
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2013, Vol 4, Issue 2
Abstract
The main goal of this paper is to develop a neuro-fuzzy system for optimization of trusses design. In evolutionary optimization for sufficiently large and/or complex problems, computational complexity is a prohibitive factor in. Therefore,we investigate the use of an intelligent fuzzy controller based on adaptive neuro-fuzzy inference system to increase the efficiency of fuzzy control. In this research, the PD controller easily stabilized the linear system. Then, thebased on PD performancerelated knowledge,fuzzy controller rule base was constructed. The effectiveness of the proposed approach was demonstrated by experimental validation. The broad range of problems discussed in this research will be found useful for flexible structures with multiple degree-of-freedom motionin civil, mechanical, and aerospace engineering.
Authors and Affiliations
Ali Falakian| Department of Civil Engineering, Ramsar Branch, Islamic Azad University, Ramsar, Iran,AliFalakian@yahoo.com, Seyed Yaser Mousavi| Department of Architecture, Ramsar Branch, Islamic Azad University, Ramsar, Iran
Keywords
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