Gearshift Sensorless Control for Direct-Drive-Type AMT Based on Improved GA-BP Neural Network Algorithm

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Input-hidden layer weights</td><td class="align_center">Input-hidden layer thresholds</td><td class="align_center">Output-hidden layer weights</td><td class="align_center">Output-hidden layer thresholds</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">V1 V2 … V78</td><td class="align_center">a1 a2 … a26</td><td class="align_center">W1 W2 … W26</td><td class="align_center"><i>b</i><sub>1</sub></td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

tab3

Table 3

Table 3: Gearshift Sensorless Control for Direct-Drive-Type AMT Based on Improved GA-BP Neural Network Algorithm 