history using artificial neural - unri.ac.id

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