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 |