High early strength concrete modeling using artificial neural network

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Main Authors: Arellano, Paul Andrew I., Gaw, Royce C.
Format: text
Language:English
Published: Animo Repository 2005
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/4643
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-5312
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-53122021-03-01T02:02:40Z High early strength concrete modeling using artificial neural network Arellano, Paul Andrew I. Gaw, Royce C. 2005-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/4643 Bachelor's Theses English Animo Repository Concrete—Testing Strength of materials Civil Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Concrete—Testing
Strength of materials
Civil Engineering
spellingShingle Concrete—Testing
Strength of materials
Civil Engineering
Arellano, Paul Andrew I.
Gaw, Royce C.
High early strength concrete modeling using artificial neural network
format text
author Arellano, Paul Andrew I.
Gaw, Royce C.
author_facet Arellano, Paul Andrew I.
Gaw, Royce C.
author_sort Arellano, Paul Andrew I.
title High early strength concrete modeling using artificial neural network
title_short High early strength concrete modeling using artificial neural network
title_full High early strength concrete modeling using artificial neural network
title_fullStr High early strength concrete modeling using artificial neural network
title_full_unstemmed High early strength concrete modeling using artificial neural network
title_sort high early strength concrete modeling using artificial neural network
publisher Animo Repository
publishDate 2005
url https://animorepository.dlsu.edu.ph/etd_bachelors/4643
_version_ 1712576245056667648