Academic Journal

Optimum Seismic Zoning Using An Artificial Neural Network

التفاصيل البيبلوغرافية
العنوان: Optimum Seismic Zoning Using An Artificial Neural Network
المؤلفون: García-Pérez, Jaime, Riaño, René
المصدر: Earthquake Spectra ; volume 32, issue 2, page 1187-1207 ; ISSN 8755-2930 1944-8201
بيانات النشر: SAGE Publications
سنة النشر: 2016
الوصف: The Kohonen artificial neural network is employed to divide a region of known seismicity into zones. Optimum boundaries and seismic design coefficients for each zone are determined by computing the expected present value of the total cost, including the initial cost of structures and damages due to earthquakes. The region is discretized into cells containing information on seismicity and the number of structural types. Then regionalization is performed, first without considering jurisdictional limits and later including this restriction. Up to four different types of structures are considered simultaneously in the regionalization. The results are presented in maps showing both zones and corresponding seismic design coefficients.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1193/070114eqs092m
الاتاحة: http://dx.doi.org/10.1193/070114eqs092m
http://journals.sagepub.com/doi/pdf/10.1193/070114eqs092m
http://journals.sagepub.com/doi/full-xml/10.1193/070114eqs092m
Rights: http://journals.sagepub.com/page/policies/text-and-data-mining-license
رقم الانضمام: edsbas.69F51912
قاعدة البيانات: BASE