A Hybrid Intelligent Model for Urban Seismic Risk Assessment from the Perspective of Possibility and Vulnerability Based on Particle Swarm Optimization

Assessing seismic risk is an essential element of urban risk management and urban spatial security work. In response to the issues posed by the complexity and openness of urban systems, the nonlinearity of driving factors, and sudden changes in geological processes that affect urban seismic research...

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Bibliographic Details
Published in:	Scientific programming Vol. 2021; pp. 1 - 16
Main Authors:	Chu, Jinlong, Zhang, Qiang, Wang, Ai, Yu, Haoran
Format:	Journal Article
Language:	English
Published:	New York Hindawi 07.12.2021 John Wiley & Sons, Inc
Subjects:	Analytic hierarchy process Back propagation Back propagation networks Cities Disasters Earthquake damage Earthquakes Emergency response Evaluation Faults Genetic algorithms Geological processes Geology Hybrid systems Methods Neural networks Particle swarm optimization Risk assessment Risk management Safety measures Seismic activity Seismic engineering Seismic hazard Urbanization Anhui China China
ISSN:	1058-9244, 1875-919X
Online Access:	Get full text
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