Using neural networks for initial design decisions in buildings

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dc.contributor.advisorDias, WPS
dc.contributor.authorPadukka, UA
dc.date.accessioned2011-02-25T02:33:58Z
dc.date.available2011-02-25T02:33:58Z
dc.descriptionA Thesis submitted to the Department of Civil Engineering for the Degree of Master of Engineering in Structural Engineering Designsen_US
dc.description.abstractWith 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.identifier.accno92924en_US
dc.identifier.degreeMEngen_US
dc.identifier.departmentDepartment of Civil Engineeringen_US
dc.identifier.facultyEngineeringen_US
dc.identifier.urihttp://dl.lib.mrt.ac.lk/handle/123/143
dc.language.isoenen_US
dc.subjectCIVIL ENGINEERING - Thesis
dc.subjectSTRUCTURAL ENGINEERING DESIGNS - Thesis
dc.subjectSTRUCTURAL ENGINEERING - Artificial Intelligence
dc.subjectNEURAL NETWORKS
dc.titleUsing neural networks for initial design decisions in buildings
dc.typeThesis-Abstract

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Master of Engineering in Structural Engineering Design