航空发动机轴承在高速、高温、高载荷等极端工况下易发生机械故障,为了提前预警,提出了一种基于自适应粒子群优化(Adaptive Particle Swarm Optimization,APSO)算法的最小二乘支持向量机(APSO Least Squares Support Vector Machine,APSO-LSSVM)对...
利用APSO-LSSVM充分学习CNN提取的特征与气藏之间的关系,获得气藏预测结果。合成数据和实际数据研究结果表明,所构建的模型取得了优于单一CNN模型或APSO-LSSVM模型的预测结果,在测试数据集上具有更小的误差。此外,CNN展现出了比主成分分析以...
The results show that compared with other models,KPCA APSO LSSVM model has higher prediction accuracy and stronger generalization ability,and is a more effective method for wear risk prediction.骆正山黄仁惠Nonferrous Metals Engineering
The database of a vehicle internet platform was adopted to construct a speed prediction model based on the APSO-LSSVM algorithm. Furthermore, a BPNN is established according to the local high-precision nonlinear fitting relationship between the predicted value and error so as to correct the ...
本发明涉及一种基于APSO优化的LSSVM的埋地管道腐蚀速率预测方法.该方法基于自适应粒子群(APSO)优化的最小二乘支持向量机(LSSVM)应用于埋地管道腐蚀速率预测中.本发明方法对改善埋地管道腐蚀速率的预测效果显著,LSSVM模型在建模过程中具有更快的学习速度,同时,采用APSO进行参数优化,提高了模型的预测精度和泛化能力,在...
The comparison researches are carried out among the proposed method, WLSSVM, LSSVM and RIV methods in detail. The research results show the effectiveness of proposed APSO-WLSSVM method.doi:10.1016/j.jfranklin.2016.12.022Ma, LiangLiu, Xinggao...