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dc.contributor.advisor Dias, WPS
dc.contributor.author Padukka, UA
dc.date.accessioned 2011-02-25T02:33:58Z
dc.date.available 2011-02-25T02:33:58Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/143
dc.description A Thesis submitted to the Department of Civil Engineering for the Degree of Master of Engineering in Structural Engineering Designs en_US
dc.description.abstract With the development of mathematics and ability to process symbols as opposed to numbers in computer technology, the artificial intelligence applications developed rapidly. Artificial Neural Networks (ANN) and Case Based Reasoning (CBR) are some of examples for the developed tools. Here we are trying to use ANN application in Structural Design as a prediction tool for arriving at column spacing and sizing in multistory buildings, based on historical examples. The trained back propagation networks were used to establish the significance of the required resuh. KEYWORDS Artificial Neural Networks, Preliminary design, Column Spacing, Column Sizing, Significance Testing, Sensitivity analysis.
dc.language.iso en en_US
dc.subject CIVIL ENGINEERING - Thesis
dc.subject STRUCTURAL ENGINEERING DESIGNS - Thesis
dc.subject STRUCTURAL ENGINEERING - Artificial Intelligence
dc.subject NEURAL NETWORKS
dc.title Using neural networks for initial design decisions in buildings
dc.type Thesis-Abstract
dc.identifier.faculty Engineering en_US
dc.identifier.degree MEng en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.accno 92924 en_US


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