佳木斯大学学报：自然科学版
佳木斯大學學報：自然科學版
가목사대학학보：자연과학판
Journal of Jiamusi University(Natural Science Edition)
2011年
6期
901-904
,共4页
粗糙集理论%指标约简%效能评估%空值填补%灰色关联分析%BP神经网络
粗糙集理論%指標約簡%效能評估%空值填補%灰色關聯分析%BP神經網絡
조조집이론%지표약간%효능평고%공치전보%회색관련분석%BP신경망락
rough set theory%indicator reduction%performance evaluation%null fill%grey relational analysis%BP neural network
建立了炮兵装备效能评估模型,首先利用灰色关联分析以及欧氏距离加权法实现了不完备信息表的空值填补;然后引入粗糙集理论对评估指标进行约简;最后利用BP神经网络确定了指标与效能间的关系并与指数模型进行比较,BP神经网络模型的精度明显高于指数模型.
建立瞭砲兵裝備效能評估模型,首先利用灰色關聯分析以及歐氏距離加權法實現瞭不完備信息錶的空值填補;然後引入粗糙集理論對評估指標進行約簡;最後利用BP神經網絡確定瞭指標與效能間的關繫併與指數模型進行比較,BP神經網絡模型的精度明顯高于指數模型.
건립료포병장비효능평고모형,수선이용회색관련분석이급구씨거리가권법실현료불완비신식표적공치전보;연후인입조조집이론대평고지표진행약간;최후이용BP신경망락학정료지표여효능간적관계병여지수모형진행비교,BP신경망락모형적정도명현고우지수모형.
Artillery equipment performance evaluation model was established.Firstly,gray relational analysis and Euclidean distance weighted method was used to complete the null value;Secondly,rough set theory was introduced to reduce the evaluation indicators;Finally,BP neural network model and exponential model were established.The result of BP neural network model is better.
