基于SVM的装备费用估算  

Equipment Cost Estimation Based on Support Vector Machine

作　　者：王江为 王馨懿 Wang Jiangwei;Wang Xinyi(Department of National Defense Economy,Army Logistics Academy,Chongqing 401331,China;School of Information and Engineering Communication,Hubei University of Economics,Wuhan 430205,China)

机构地区：[1]陆军勤务学院国防经济系,重庆401331 [2]湖北经济学院信息与工程通信学院,武汉430205

出　　处：《兵工自动化》2024年第1期62-66,共5页Ordnance Industry Automation

摘　　要：针对传统建模方法无法解决“小样本、高维度、非线性”类大型复杂装备系统装备的费用估算问题,提出基于支持向量机(support vector machine,SVM)的方法。针对SVM方法固有的缺陷进行优化改进。结果表明,该方法为装备全寿命费用估算做了有益探索。Aiming at the problem that the traditional modeling method can not solve the cost estimation of large complex equipment system with“small sample,high dimension,nonlinear”,a method based on support vector machine(SVM)is proposed.Aiming at the inherent defects of the SVM method,the optimization and improvement are carried out.The results show that this method is a useful exploration for equipment life cycle cost estimation.

关 键 词：SVM 特性指标 VC维 装备费用估算 

分 类 号：E920.8[军事—军事装备学]