弹道学报2025，Vol.37Issue(1)：1-8,8.DOI:10.12115/ddxb.2024.12001
数据驱动在内弹道中的应用与展望
Applications and Prospects of Data-driven Methods in Internal Ballistics
张小兵 1李湉湉1
作者信息
- 1. 南京理工大学 能源与动力工程学院,江苏 南京 210094
- 折叠
摘要
Abstract
In recent years,data-driven methods have received extensive attention and research,and data-driven provides a new research paradigm for the development of internal ballistics,which has a broad application prospect and development potential.This paper summarizes the relevant research results of data-driven methods in the field of internal ballistics in recent years,and mainly introduces the data-driven internal ballistic modelling technique and the data-driven internal ballistic performance optimization method.The paper also discusses the challenges faced by the related research and points out the directions worthy of further research in the future.关键词
内弹道/数据驱动/神经网络/机器学习Key words
internal ballistics/data-driven/neural networks/machine learning分类
武器工业引用本文复制引用
张小兵,李湉湉..数据驱动在内弹道中的应用与展望[J].弹道学报,2025,37(1):1-8,8.
