ANALYSIS ULTIMATE BEARING CAPACITY ON BORED PILE WITH USING
ARTIFICIAL NEURAL NETWORK
by Sri Prabandiyani R. W
Submission date: 10-Sep-2019 12:17PM (UTC+0700) Submission ID: 1170055938
File name: CAPACITY_ON_BORED_PILE_WITH_USING_ARTIFICIAL_NEURAL_NETWORK.pdf (776.02K) Word count: 3945
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SIMILARITY INDEX
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INTERNET SOURCES
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PUBLICATIONS
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STUDENT PAPERS
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ANALYSIS ULTIMATE BEARING CAPACITY ON BORED PILE WITH USING ARTIFICIAL NEURAL NETWORK
ORIGINALITY REPORT
PRIMARY SOURCES
Submitted to Federal University of Technology
Student Paper
civilejournal.org
Internet Source
www.slideshare.net
Internet Source
Submitted to Universiti Malaysia Sarawak
Student Paper
Submitted to Universitas Diponegoro
Student Paper
Submitted to University of Technology
Student Paper
digital.library.adelaide.edu.au
Internet Source
Submitted to Program Pascasarjana Universitas Negeri Yogyakarta
Student Paper
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Marti@?, R.. "Multilayer neural networks: an experimental evaluation of on-line training methods", Computers and Operations Research, 200408
Publication
Submitted to University of East London
Student Paper
Submitted to University of Westminster
Student Paper
K Suhas, R Hemanth Kumar, Sanket Hari
Nayak, B Niranjana Krupa. "A hybrid model for recognizing cardiac murmurs from
phonocardiogram signal", 2016 IEEE Annual India Conference (INDICON), 2016
Publication
www.aapspharmscitech.org
Internet Source
scholars.unh.edu
Internet Source
de.scribd.com
Internet Source
Suwansawat, S.. "Artificial neural networks for
predicting the maximum surface settlement
caused by EPB shield tunneling", Tunnelling
and Underground Space Technology
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incorporating Trenchless Technology Research, 200603
Publication
Submitted to Universiti Tenaga Nasional
Student Paper
dspace.lib.cranfield.ac.uk
Internet Source
www.ecms.adelaide.edu.au
Internet Source
repository.up.ac.za
Internet Source
Submitted to Heriot-Watt University
Student Paper
