A neural network approach for predicting the structural behavior of concrete slabs

Thesis (M.Eng.)--Memorial University of Newfoundland, 1997. Engineering and Applied Science Bibliography: leaves 103-108. In process

Bibliographic Details
Main Author: Tully, Susan Hentschel, 1961-
Other Authors: Memorial University of Newfoundland. Faculty of Engineering and Applied Science
Format: Thesis
Language:English
Published: 1997
Subjects:
Concrete slabs
Structural analysis (Engineering) > Computer programs
Neural networks (Computer science)
Newfoundland studies
University of Newfoundland
Online Access:http://collections.mun.ca/cdm/ref/collection/theses2/id/110584
id ftmemorialunivdc:oai:collections.mun.ca:theses2/110584
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spelling ftmemorialunivdc:oai:collections.mun.ca:theses2/110584 2023-05-15T17:23:30+02:00 A neural network approach for predicting the structural behavior of concrete slabs Tully, Susan Hentschel, 1961- Memorial University of Newfoundland. Faculty of Engineering and Applied Science 1997 xv, 126 leaves : ill. Image/jpeg; Application/pdf http://collections.mun.ca/cdm/ref/collection/theses2/id/110584 Eng eng Electronic Theses and Dissertations (13.40 MB) -- http://collections.mun.ca/PDFs/theses/Tully_SusanHentschel.pdf a1234449 http://collections.mun.ca/cdm/ref/collection/theses2/id/110584 The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission. Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries Concrete slabs Structural analysis (Engineering)--Computer programs Neural networks (Computer science) Text Electronic thesis or dissertation 1997 ftmemorialunivdc 2015-08-06T19:16:48Z Thesis (M.Eng.)--Memorial University of Newfoundland, 1997. Engineering and Applied Science Bibliography: leaves 103-108. In process Thesis Newfoundland studies University of Newfoundland Memorial University of Newfoundland: Digital Archives Initiative (DAI)
institution Open Polar
collection Memorial University of Newfoundland: Digital Archives Initiative (DAI)
op_collection_id ftmemorialunivdc
language English
topic Concrete slabs
Structural analysis (Engineering)--Computer programs
Neural networks (Computer science)
spellingShingle Concrete slabs
Structural analysis (Engineering)--Computer programs
Neural networks (Computer science)
Tully, Susan Hentschel, 1961-
A neural network approach for predicting the structural behavior of concrete slabs
topic_facet Concrete slabs
Structural analysis (Engineering)--Computer programs
Neural networks (Computer science)
description Thesis (M.Eng.)--Memorial University of Newfoundland, 1997. Engineering and Applied Science Bibliography: leaves 103-108. In process
author2 Memorial University of Newfoundland. Faculty of Engineering and Applied Science
format Thesis
author Tully, Susan Hentschel, 1961-
author_facet Tully, Susan Hentschel, 1961-
author_sort Tully, Susan Hentschel, 1961-
title A neural network approach for predicting the structural behavior of concrete slabs
title_short A neural network approach for predicting the structural behavior of concrete slabs
title_full A neural network approach for predicting the structural behavior of concrete slabs
title_fullStr A neural network approach for predicting the structural behavior of concrete slabs
title_full_unstemmed A neural network approach for predicting the structural behavior of concrete slabs
title_sort neural network approach for predicting the structural behavior of concrete slabs
publishDate 1997
url http://collections.mun.ca/cdm/ref/collection/theses2/id/110584
genre Newfoundland studies
University of Newfoundland
genre_facet Newfoundland studies
University of Newfoundland
op_source Paper copy kept in the Centre for Newfoundland Studies, Memorial University Libraries
op_relation Electronic Theses and Dissertations
(13.40 MB) -- http://collections.mun.ca/PDFs/theses/Tully_SusanHentschel.pdf
a1234449
http://collections.mun.ca/cdm/ref/collection/theses2/id/110584
op_rights The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.
_version_ 1766112880401317888

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