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2023 Vol.55, Issue 6 Preview Page


30 December 2023. pp. 150-151
  • Publisher :Korea Technical Association of The Pulp and Paper Industry
  • Publisher(Ko) :한국펄프종이공학회
  • Journal Title :Journal of Korea TAPPI
  • Journal Title(Ko) :펄프종이기술
  • Volume : 55
  • No :6
  • Pages :150-151
  • The Original Article was published on 30 October 2023
    Corrigendum to : Journal of Korea TAPPI(2023) 55(5):83-95

    펄프․종이기술 55(5):83-95 ‘적외선 분광법과 기계학습을 이용한 셀룰로오스 아세테이트의 치환도 예측 모델링 (Lee et al. 2023)’의 본문 중 Fig. 1과 Fig. 2에 인용문헌 표기가 필요하다고 판단되어 해당사항을 다음과 같이 공지함.



    Fig. 1. Visualization of machine learning model (a: PLS-DA, b: SVM, c: KNN) (inspired Jang et al. 2020).


    Fig. 2. Visualization of confusion matrix for classification with N classes (Abraham et al. 2019).


    1. Jang, K. J., Heo, T. Y., and Jeong, S. H., Classification option for Korean traditional paper based on type of raw materials, using near-infrared spectroscopy and multivariate statistical methods, BioResources 15(4):9045-9058 (2020).
    2. Abraham, S., Huynh, C., and Vu, H., Classification of soils into hydrologic groups using machine learning, Data 5(1):2 (2019).