Vehicle Information Influence Degree Screening Method Based on GEP Optimized RBF Neural Network

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Influence factor</td><td class="align_center">Passenger number</td><td class="align_center">Time and direction of travel</td><td class="align_center">Outside lighting (light)</td><td class="align_center">Weather</td><td class="align_center">Season (air conditioning use)</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Influence degree value</td><td class="align_center">76.87</td><td class="align_center">139.05</td><td class="align_center">57.56</td><td class="align_center">87.90</td><td class="align_center">140.78</td></tr><tr><td class="align_left">Percentage</td><td class="align_center">2.33%</td><td class="align_center">4.22%</td><td class="align_center">1.75%</td><td class="align_center">2.67%</td><td class="align_center">4.28%</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The influence degree of energy consumption influence factors (other).</div>

Complexity

tab5

Table 5

Table 5: Vehicle Information Influence Degree Screening Method Based on GEP Optimized RBF Neural Network 