The Bidirectional Optimization of Carbon Fiber Production by Neural Network with a GA-IPSO Hybrid Algorithm

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="768756.fig.004a" src="https://static.hindawi.com/articles/mpe/volume-2013/768756/figures/768756.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Strength </td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="768756.fig.004b" src="https://static.hindawi.com/articles/mpe/volume-2013/768756/figures/768756.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Structure parameter </td></tr></table></td></tr></table>

<table>Training results of the proposed GA-IPSO-RNN model.</table>

Mathematical Problems in Engineering

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Figure 4

Figure 4: The Bidirectional Optimization of Carbon Fiber Production by Neural Network with a GA-IPSO Hybrid Algorithm 