history using artificial neural - unri.ac.id
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Damage Level Prediction ofReinforced Concrete BuildingBased on Earthquake Time
History Using Artificial NeuralNetworkby Reni Suryanita
Submission date: 05-Feb-2019 10:39PM (UTC+0700)Submission ID: 1073389345File name: 2017_Matec_Des.pdf (446.6K)Word count: 2981Character count: 14804
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Damage Level Prediction of Reinforced Concrete BuildingBased on Earthquake Time History Using Artificial NeuralNetworkORIGINALITY REPORT
PRIMARY SOURCES
Submitted to Universitas DiponegoroStudent Paper
www.iaeng.orgInternet Source
Submitted to Universiti Teknologi MalaysiaStudent Paper
Submitted to Intl.Schl. Of Tanganyika HighSchoolStudent Paper
docslide.usInternet Source
redac.eng.usm.myInternet Source
www.shs-conferences.orgInternet Source
George C. Karras, Kostas J. Kyriakopoulos."Localization of an underwater vehicle using anIMU and a laser-based vision system", 2007Mediterranean Conference on Control &Automation, 2007Publicat ion
Submitted to Udayana UniversityStudent Paper
www.e3s-conferences.orgInternet Source
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fajaryannu.blogspot.co.idInternet Source
ses.library.usyd.edu.auInternet Source
Bangalore, Pramod, and Lina BertlingTjernberg. "An approach for self evolvingneural network based algorithm for faultprognosis in wind turbine", 2013 IEEE GrenobleConference, 2013.Publicat ion
www.iosrjournals.orgInternet Source
Lee, Ho Jung, and Daniel A. Kuchma. "SeismicOverstrength of Shear Walls in ParkingStructures with Flexible Diaphragms", Journalof Earthquake Engineering, 2007.Publicat ion
John Douglas, Athanasios Gkimprixis. "Chapter14 Risk Targeting in Seismic Design Codes:The State of the Art, Outstanding Issues andPossible Paths Forward", Springer Nature,2018Publicat ion