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The analysis of statically determinate truss systems using artifcial neural networks

2006
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Advisor: Yrd. Doç. Dr. Yılmaz İçağa

Abstract (EN)

There are different approaches developed for material behavior in structureanalyses in structure systems. The design of truss systems are depend onmaximum axial forces of bars. Different solution methods are developed toobtain axial forces of bars.In this study artificial neural network in truss system analysis and applications indesign are investigated. There are five different applications in solving trusssystems with artificial neural networks. In each application plane truss systemwith different system types are selected. Effects of artificial neural network inplane truss system are investigated using tables and graphics with data?s obtainedfrom applications.Definitions, structure and models of recently wide spreading artificial neuralNetworks are summarized. General attributes of artificial neural Networks arementioned and structural functions of every model are explained.

Author

Dr. Fatih Çamcı

How to Cite

Fatih Çamcı (Master Thesis). The analysis of statically determinate truss systems using artifcial neural networks, 2006, Afyon Kocatepe University.

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