Displacement Back Analysis for a High Slope of  the Dagangshan Hydroelectric Power Station Based on  BP Neural Network and Particle Swarm Optimization

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="741323.fig.008a" src="https://static.hindawi.com/articles/tswj/volume-2014/741323/figures/741323.fig.008a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>5-meter monitoring point</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="741323.fig.008b" src="https://static.hindawi.com/articles/tswj/volume-2014/741323/figures/741323.fig.008b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>13-meter monitoring point</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="741323.fig.008c" src="https://static.hindawi.com/articles/tswj/volume-2014/741323/figures/741323.fig.008c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>25-meter monitoring point</td></tr></table></td></tr></table>

<table>Displacement comparison between the measured displacements and the predicted displacements.</table>

The Scientific World Journal

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Figure 8

Figure 8: Displacement Back Analysis for a High Slope of  the Dagangshan Hydroelectric Power Station Based on  BP Neural Network and Particle Swarm Optimization 

Figure 8 | Displacement Back Analysis for a High Slope of  the Dagangshan Hydroelectric Power Station Based on  BP Neural Network and Particle Swarm Optimization 