摘要
针对装备随使用年限的增加而不断劣化,修理价格增长速度加快的特征,使用强化缓冲算子对装备修理价格的原始数据时间序列进行预处理,以消除劣化对数据的扰动影响,结合GM(1,1)建模,对装备修理价格进行预测研究。通过对某型装备修理价格的预测分析表明,经过2阶强化缓冲算子处理后的GM(1,1)模型具有更好的预测精度。
Aiming at the characters that equipment becomes more inferior continuously as the time passing by while the growing speed of equipment repair price gets more quick,strengthening buffer operator was used to preprocess original data time serial of equipment repair price.It could eliminate the infection of equipment inferior to data.Then GM（1,1） was used to model for equipment repair price forecast.Finally,the forecast results of repair price for some torpedo were analyzed.The results showed that GM（1,1） had better precision when it dealt with second-order strengthening buffer operator.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2010年第5期807-810,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
关键词
装备修理价格
强化缓冲算子
灰色模型
equipment repair price
strengthening buffer operator
grey model
