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A Study on the Framework for Parameter Extraction in the BCTP Training Model Using KCTC Data : Focusing on Fire Support

KCTC 데이터를 활용한 BCTP 훈련모델의 파라미터 추출 프레임워크 연구 : 화력 분야를 중심으로

  • Seungryul Lee (Department of Defense Science, Korea National Defense University) ;
  • Hanwoo Lee (Department of Defense Science, Korea National Defense University) ;
  • Suhwan Kim (Department of Defense Science, Korea National Defense University)
  • 이승률 (국방대학교 국방과학학부) ;
  • 이한우 (국방대학교 국방과학학부) ;
  • 김수환 (국방대학교 국방과학학부)
  • Received : 2025.05.28
  • Accepted : 2025.10.24
  • Published : 2025.12.05

Abstract

This study develops a data-driven framework to optimize battle command training using actual combat data from the Korea Combat Training Center(KCTC). Traditional models rely on theoretical assumptions, limiting their realism. By analyzing KCTC data, this research extracts key parameters to enhance the firepower domain of the Battle Command Training Program(BCTP) model. The proposed framework aligns simulations with real battlefield conditions, improves decision-making, and advances scientifically structured training. Statistical analysis ensures a realistic representation of combat scenarios, reinforcing adaptive learning. The findings contribute to a more effective battle command training system, enhancing operational readiness for future warfare.

Keywords