Intelligent Recognition of Safety Risk in Metro Engineering Construction Based on BP Neural Network

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Risk level</td><td class="align_center">Interval range</td><td class="align_center">Meaning</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Level 1</td><td class="align_center">(0, 0.2]</td><td class="align_center">Acceptable and strive to control the risk within this level</td></tr><tr><td class="align_left">Level 2</td><td class="align_center">(0.2, 0.4]</td><td class="align_center">Acceptable, it is allowed to occur within certain conditions without escalating the risk level</td></tr><tr><td class="align_left">Level 1</td><td class="align_center">(0.4, 0.6]</td><td class="align_center">Do not want to happen; compare the adverse effects of risks and the cost of measures taken</td></tr><tr><td class="align_left">Level 4</td><td class="align_center">(0.6, 0.8]</td><td class="align_center">Unacceptable; immediately formulate risk response measures</td></tr><tr><td class="align_left">Level 5</td><td class="align_center">(0.8, 1]</td><td class="align_center">Completely unacceptable; eliminate or avoid risks</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Risk levels of subway construction.</div>

Mathematical Problems in Engineering

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Table 1

Table 1: Intelligent Recognition of Safety Risk in Metro Engineering Construction Based on BP Neural Network 