2026-10-12T19:03:21Z https://www.scidb.cn/oai

10.57760/sciencedb.30714 2025-10-30T17:56:41Z

2025-10-30 Improved BP Neural Network Database for Plate-Type Lifting Lug Design doi:10.57760/sciencedb.30714 en Utilizing the nonlinear fitting capability of particle swarm optimization algorithm for the initial database of plate type lifting ear design. Divided into nearly 3000 sets of data based on different lifting angles (from 0 to 30), lifting weights (from 1 ton to 60 tons), and different materials (Q235 and Q345). Using particle swarm optimization algorithm and penalty function, with minimum weight as the objective function, obtain the optimal solution for each group to form a database. Use this database as the initial database to train an improved BP neural network and obtain the trained weights and thresholds.  Lifting Lug Design; Algorithm Optimization; 结构设计 Structural Design wang chao RESTRICTED dataset Science Data Bank