Modelling of Deformation Resistance with Big Data and Its Application in the Prediction of Rolling Force of Thick Plate

<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"> The number of hidden layer nodes</td><td class="align_center">Minimum accuracy (%)</td><td class="align_center">Average accuracy (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">13</td><td class="align_center">94.35</td><td class="align_center">97.48</td></tr><tr><td class="align_left">14</td><td class="align_center">93.38</td><td class="align_center">97.73</td></tr><tr><td class="align_left">15</td><td class="align_center">95.57</td><td class="align_center">98.15</td></tr><tr><td class="align_left">16</td><td class="align_center">93.93</td><td class="align_center">97.64</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of training accuracy with different number of nodes.</div>

Mathematical Problems in Engineering

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Table 1

Table 1: Modelling of Deformation Resistance with Big Data and Its Application in the Prediction of Rolling Force of Thick Plate 