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

<div>Predicting seismic probability. (a) Distance to epicenter. (b) Distance to fault zone. (c) Earthquake density. (d) Fault zone density. (e) Rock and soil stability. (f) Peak ground acceleration. (g) Elevation. (h) Slope. (i) Tortuosity. (j) Probability of earthquake in Hefei metro area. (k) Probability of earthquake in downtown Hefei.</div>

Scientific Programming

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Figure 4

Figure 4: A Hybrid Intelligent Model for Urban Seismic Risk Assessment from the Perspective of Possibility and Vulnerability Based on Particle Swarm Optimization 

Figure 4 | A Hybrid Intelligent Model for Urban Seismic Risk Assessment from the Perspective of Possibility and Vulnerability Based on Particle Swarm Optimization 