摘要
基于灰色系统GM(1,1)模型理论,用改进后的预测模型预测海军舰船特装修理费用,可充分开发并利用少量数据中的显信息和隐信息,避免复杂的相关关系,克服了原始数据的离散性,得到高精度的预测结果,以某型舰船特装修理费用为例,建立了预测模型,并进行了中短期预测,结果表明,其精度优于传统模型。
Based the gray system theory, an improved GM ( 1, 1 ) model is presented and used to forecast the mending expenses of navy vessel special equipments. The discreteness of original data is overcome and the high - precise predicted result is received under the condition of a small amount of data. This paper takes a short - term forecast according to the mending expenses of vessel special equipment. The result implies that it's superior to the traditional model.
出处
《武汉理工大学学报(信息与管理工程版)》
CAS
2007年第6期100-102,共3页
Journal of Wuhan University of Technology:Information & Management Engineering
基金
国家部委科研资助项目(军工)
关键词
特装修理费用
费用预测
改进GM(1
1)模型
special equipments expenses
expenses forecast
improved GM ( 1, 1 ) model