Data-Driven Optimal Control for Pulp Washing Process Based on Neural Network

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Input layer</td><td class="align_center">Hidden layer</td><td class="align_center">Output layer</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Node number of RS</td><td class="align_center">24</td><td class="align_center">27</td><td class="align_center">1</td></tr><tr><td class="align_left" colspan="4"><hr/></td></tr><tr><td class="align_left">Node number of BD</td><td class="align_center">16</td><td class="align_center">19</td><td class="align_center">1</td></tr><tr><td class="align_left" colspan="4"><hr/></td></tr><tr><td class="align_left">Activating function</td><td class="align_center"><span style="width: 55.4641ptpx;"><svg height="13.0648pt" id="M35" style="vertical-align:-2.268101pt" version="1.1" viewbox="-0.0498162 -10.7967 55.4641 13.0648" 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class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Neural network dynamic model parameters of residual soda (RS) and Baume degree (BD).</div>

Mathematical Problems in Engineering

tab1

Table 1

Table 1: Data-Driven Optimal Control for Pulp Washing Process Based on Neural Network 