基于主成分和支持向量机的设备寿命周期费用建模方法  

Modeling for the Equipment LCC Based on Principal Components and SVM

作　　者：丛岩[1] 

机构地区：[1]中国石化胜利油田管理局,山东东营257001

出　　处：《船海工程》2010年第4期165-167,共3页Ship & Ocean Engineering

摘　　要：提出运用主成分分析法和支持向量机技术相结合的分析法来减少影响设备寿命周期费用因素的数量,降低建模的难度。利用主成分分析法来约简影响因素,采用支持向量机技术来建模,减少非线性数据带来的不确定性。采用Matlab中的支持向量机工具箱,建立回归估算模型,并以实例分析验证本方法的可行性。Redundant factors will cause life cycle cost （LCC） model more difficulty and increase the uncertainness of estimate, so the principal components analysis method and support vector machine （SVM） technology was put forward to decrease the number of the influence factors and reduce the difficulty in modeling. The factors were decreased by the implication in principal components analysis method and the model was made by SVM, which can reduce the uncertainness. The estimate model was set up by the SVM tool box in Matlab, and the method is proved feasible by the instance.

关 键 词：LCC 主成分分析 支持向量机 影响因素 

分 类 号：N945.11[自然科学总论—系统科学]