Application in Structural Parameter Optimization by using Architecture-Based Neural Network

The modeling method using architecture-based neural network (ABNN) is introduced. The structural parameter optimization method using ABNN is put forward. By using this optimization method, the ABNN model of 52SFZ-140-207B type of hydraulic bumper is established, and the key structural parameters of the hydraulic bumper are optimized. After optimization, the dynamic performance of the hydraulic bumper gets improved.