A Study on the Framework for Parameter Extraction in the BCTP Training Model Using KCTC Data : Focusing on Fire Support
Year: 2025
Type: article
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.
Authors: Seungryul Lee, Hanwoo Lee, Suhwan Kim
Institution: Korea National Defense University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4417098146