supported by the National Natural Science Foundation of China(Nos.51921003,52275153,51975292);the Outstanding Youth Foundation of Jiangsu Province of China(No.BK20211519);Fundamental Research Funds for the Central Universities(No.1001-XAC21022);the Funding for Outstanding Doctoral Dissertation in Nanjing University of Aeronautics and Astronautics(NUAA)(No.BCXJ19-01);the Fund of Prospective Layout of Scientific Research for NUAA;the Priority Academic Program Development of Jiangsu Higher Education Institutions of China。
为实现环境激励下复杂钢结构的损伤预警,提出一种基于粒子群优化(particle swarm optimization,简称PSO)的支持向量回归(support vector regression,简称SVR)-时间序列(auto-regressive and moving average model,简称ARMA)组合模型用...