工业工程与管理
工業工程與管理
공업공정여관리
INDUSTRIAL ENGINEERING AND MANAGEMENT
2014年
3期
53-59
,共7页
关键质量特性%复杂产品%特征选择%过滤算法%包裹算法%ReliefF
關鍵質量特性%複雜產品%特徵選擇%過濾算法%包裹算法%ReliefF
관건질량특성%복잡산품%특정선택%과려산법%포과산법%ReliefF
critical-to-quality characteristics(CTQs)%complex products%feature selection%filter algorithm%wrapper algorithm%ReliefF
为了解决复杂产品关键质量特性(CTQs)识别问题,提出基于过滤(Filter)算法与包裹(Wrapper)算法的改进混合特征选择算法。首先应用 Filter 算法对复杂产品质量特性进行排序,接着应用 Wrapper 算法识别关键质量特性。提出一种新的方法 FNO,确定 Wrapper 阶段所选关键质量特性数。应用过滤算法 ReliefF 构建混合算法 ReliefF-W。算例分析表明,ReliefF-W 能够有效进行 CTQ 识别。与一种传统混合算法相比,ReliefF-W 能够在保证学习算法有较好预测精度的同时,识别出更少关键质量特性。
為瞭解決複雜產品關鍵質量特性(CTQs)識彆問題,提齣基于過濾(Filter)算法與包裹(Wrapper)算法的改進混閤特徵選擇算法。首先應用 Filter 算法對複雜產品質量特性進行排序,接著應用 Wrapper 算法識彆關鍵質量特性。提齣一種新的方法 FNO,確定 Wrapper 階段所選關鍵質量特性數。應用過濾算法 ReliefF 構建混閤算法 ReliefF-W。算例分析錶明,ReliefF-W 能夠有效進行 CTQ 識彆。與一種傳統混閤算法相比,ReliefF-W 能夠在保證學習算法有較好預測精度的同時,識彆齣更少關鍵質量特性。
위료해결복잡산품관건질량특성(CTQs)식별문제,제출기우과려(Filter)산법여포과(Wrapper)산법적개진혼합특정선택산법。수선응용 Filter 산법대복잡산품질량특성진행배서,접착응용 Wrapper 산법식별관건질량특성。제출일충신적방법 FNO,학정 Wrapper 계단소선관건질량특성수。응용과려산법 ReliefF 구건혼합산법 ReliefF-W。산례분석표명,ReliefF-W 능구유효진행 CTQ 식별。여일충전통혼합산법상비,ReliefF-W 능구재보증학습산법유교호예측정도적동시,식별출경소관건질량특성。
To identify critical-to-quality characteristics (CTQs),a hybrid algorithm of Filter and Wrapper is proposed.Quality characteristics are ranked by Filter algorithm firstly,and then Wrapper algorithm is applied to select the CTQs.A new method named FNO is proposed to calculate the best number of CTQs during the Wrapper phase.A Filter algorithm,ReliefF,is introduced to structure the hybrid algorithm named ReliefF-W.Experimental result illustrates that ReliefF-W is efficient in CTQ identification.Compared with a traditional hybrid algorithm, ReliefF-W can select fewer CTQs while ensuring high prediction accuracy.