Robust Optimization of Industrial Process Operation Parameters Based on Data-Driven Model and Parameter Fluctuation Analysis

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Number of test samples</td><td class="align_center">MSE (%)</td><td class="align_center">MAPE (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">30</td><td class="align_center">0.0817</td><td class="align_center">0.0003</td></tr><tr><td class="align_left">45</td><td class="align_center">0.0938</td><td class="align_center">2.226<i>e</i> − 05</td></tr><tr><td class="align_left">55</td><td class="align_center">0.1591</td><td class="align_center">0.0016</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance of prediction effects.</div>

Mathematical Problems in Engineering

tab2

Table 2

Table 2: Robust Optimization of Industrial Process Operation Parameters Based on Data-Driven Model and Parameter Fluctuation Analysis 