Evaluation of Children’s Physical Fitness Index and Prediction of Health Risk Trend Based on BP Neural Network Algorithm

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Index</td><td class="align_center" colspan="2">Boy</td><td class="align_center" colspan="2">Girl</td></tr><tr class="thead"><td class="align_center">Experience group</td><td class="align_center">Control group</td><td class="align_center">Experience group</td><td class="align_center">Control group</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left" rowspan="2">Height (m)</td><td class="align_center"><span style="width: 63.3642ptpx;"><svg height="8.69875pt" id="M17" style="vertical-align:-0.3499298pt" version="1.1" viewbox="-0.0498162 -8.34882 63.3642 8.69875" width="63.3642pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M241 635C89 635 35 457 35 312C35 153 89 -12 240 -12C390 -12 443 166 443 312C443 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<div>Comparison of height index differences between boys and girls before and after the experiment.</div>

Wireless Communications and Mobile Computing

tab2

Table 2

Table 2: Evaluation of Children’s Physical Fitness Index and Prediction of Health Risk Trend Based on BP Neural Network Algorithm 