D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="681259.fig.0012a" src="https://static.hindawi.com/articles/mpe/volume-2014/681259/figures/681259.fig.0012a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Response curve of tower bottom temperature</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="681259.fig.0012b" src="https://static.hindawi.com/articles/mpe/volume-2014/681259/figures/681259.fig.0012b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Response curve of tower top temperature</td></tr></table></td></tr></table>

<table>Simulation results with tower bottom temperature disturbance.</table>

Mathematical Problems in Engineering

fig12

Figure 12

Figure 12: D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process 