Korean Chem. Eng. Res.
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ISSN 0304-128X
Online:
ISSN 2233-9558
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Issue
Total
1
articles [
키워드
:
Group Contribution Methods
]
No.
Article
1
Korean Chemical Engineering Research
,
48
(6), pp.717-724 (2010)
유기물의 인화점 예측을 위한 부분최소자승법과 SVM의 비교
Comparison of Partial Least Squares and Support Vector Machine for the Flash Point Prediction of Organic Compounds
이창준, 고재욱, 이기백
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