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.005a" src="https://static.hindawi.com/articles/mpe/volume-2014/681259/figures/681259.fig.005a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Training samples</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="681259.fig.005b" src="https://static.hindawi.com/articles/mpe/volume-2014/681259/figures/681259.fig.005b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Testing samples</td></tr></table></td></tr></table>

<table>Simulation results of D-FNN modeling of tower bottom temperature.</table>

Mathematical Problems in Engineering

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Figure 5

Figure 5: D-FNN Based Modeling and BP Neural Network Decoupling Control of PVC Stripping Process 