Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks

Autor:	Mohammad Amin Nabian, Hadi Meidani
Rok vydání:	2018
Předmět:	Computer science business.industry Deep learning 020101 civil engineering 02 engineering and technology Computer Graphics and Computer-Aided Design 0201 civil engineering Computer Science Applications Reliability engineering Computational Theory and Mathematics Preparedness 11. Sustainability 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business Reliability (statistics) Civil and Structural Engineering
Zdroj:	Computer-Aided Civil and Infrastructure Engineering. 33:443-458
ISSN:	1467-8667 1093-9687
DOI:	10.1111/mice.12359
Popis:	To optimize mitigation, preparedness, response, and recovery procedures for infrastructure systems, it is essential to use accurate and efficient means to evaluate system reliability again...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fc87312c74d326871554d79af215b30d https://doi.org/10.1111/mice.12359 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.