GENETIC ALGORITHM-BASED OPTIMIZATION OF THE BARREL-PROJECTILE CONTACT/IMPACT NEURAL NETWORK MODEL

被引：0
|
作者：
Peng, Jing [1 ]
Luo, Can [2 ]
Ma, Jia [1 ]
Li, Kexian [1 ]
Huang, Zhu [1 ]
机构：
[1] School of Civil Engineering, Changsha University of Science and Technology, Changsha,410114, China
[2] School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha,410114, China
来源：
Lixue Xuebao/Chinese Journal of Theoretical and Applied Mechanics | 2024年 / 56卷 / 10期
关键词：
Barreling - Digital elevation model - Direct process refining - Fire fighting equipment - Military data processing - Ordnance - Surveying instruments;
D O I：
10.6052/0459-1879-24-212
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2974 / 2986
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