Research on Road Adhesion Condition Identification Based on an Improved ALexNet Model

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">SVM</td><td class="align_center">BP</td><td class="align_center">ALexNet</td><td class="align_center">RSRM</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Training time/h</td><td class="align_center">1.6</td><td class="align_center">2.2</td><td class="align_center">1</td><td class="align_center">0.4</td></tr><tr><td class="align_left">Recognition time/s</td><td class="align_center">0.15</td><td class="align_center">0.16</td><td class="align_center">0.15</td><td class="align_center">0.14</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Training time and individual image recognition time for different models.</div>

Journal of Advanced Transportation

tab6

Table 6

Table 6: Research on Road Adhesion Condition Identification Based on an Improved ALexNet Model 