高压物理学报2018，Vol.32Issue(2)：106-113,8.DOI:10.11858/gywlxb.20170577
动能弹对混凝土靶侵彻深度的PSO-SVM预测
Prediction of Penetration Depth of Projectiles into Concrete Targets Based on PSO-SVM
摘要
Abstract
The prediction of the penetration depth of concrete in concrete damage effect is of great significance to the design and construction in protection engineering.However,the traditional methods for this prediciton involve such problems as requiring a great supply of samples,or suffering from a large prediction error,and so on.In this work,following the theory of the support vector machine(SVM)and according to the parameters optimized through the particle swarm optimization(PSO),the PSO-SVM for predicting the penetration depth was proposed.The corresponding programs were written and the prediction was verified by the experiment data.The results show that the PSO-SVM method has a great advantage for small samples and non-linear prediction.In comparison with the traditional grey theory,the relative predicted errors through the PSO-SVM method are smaller(the maximum relative error being 3.18%).As the number of the samples increases,the maximum relative errors decrease and the changing rate slows down whereas,however,the amount of calcula-tion becomes larger.Above all,it is feasible to apply PSO-SVM method to the prediction of penetration depth of projectiles into concrete targets.关键词
粒子群优化/支持向量机/混凝土靶/侵彻深度/预测Key words
particle swarm optimization/support vector machine/concrete targets/penetration depth/prediction分类
数理科学引用本文复制引用
潘强,张继春,肖清华,邹新宽,石洪超..动能弹对混凝土靶侵彻深度的PSO-SVM预测[J].高压物理学报,2018,32(2):106-113,8.基金项目
国家自然科学基金(50574076) （50574076）
