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基于改进递减数列灰色模型的油液黏度预测
引用本文:何庆飞,陈小虎,姚春江,王德文,张宁.基于改进递减数列灰色模型的油液黏度预测[J].机床与液压,2020,48(2):176-179.
作者姓名:何庆飞  陈小虎  姚春江  王德文  张宁
作者单位:西京学院机械工程学院,陕西西安710123;火箭军工程大学作战保障学院,陕西西安710025
基金项目:国家科技重大专项基金资助项目(2017ZX04011010);国防预研基金资助项目(9140A27020309JB4701)
摘    要:提出单调递减数列光滑度比较原则,给出单调递减数列光滑度的提高方法,并从理论上给以证明,分析GM(1,1)灰色模型建模机制,利用反向累加算法和提高单调递减数列光滑度相结合的方法来提高单调递减数列灰色模型精度,并通过实例证明了该方法的有效性。

关 键 词:油液黏度  光滑度  单调递减数列  反向累加  预测精度

Prediction of Oil Viscosity Based on Improved Grey Modeling Method in Decreasing Sequence
HE Qingfei,CHEN Xiaohu,YAO Chunjiang,WANG Dewen,ZHANG Ning.Prediction of Oil Viscosity Based on Improved Grey Modeling Method in Decreasing Sequence[J].Machine Tool & Hydraulics,2020,48(2):176-179.
Authors:HE Qingfei  CHEN Xiaohu  YAO Chunjiang  WANG Dewen  ZHANG Ning
Affiliation:(School of Mechanical Engineering,Xijing University,Xi an Shaanxi 710123,China;School of Operational Support,Rocket Force Engineering University,Xi an Shaanxi 710025,China)
Abstract:The comparison principle of smooth degree about monotone decreasing sequence was put forward.Improved method of smooth degree about decreasing sequence was given,and proved in theory.The modeling mechanism of GM(1,1) grey model was analyzed.The forecasting precision of grey model was improved by combining the methods of opposite direction accumulating algorithm and improved smooth degree of decreasing sequence.The validity of the method is proved by application example.
Keywords:Oil viscosity  Smooth degree  Monotone decreasing sequence  Opposite direction accumulating  Forecasting precision
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