Mining HLA-based simulation data of combat systems utilizing neural networks

被引：0

作者：

Ju, R. S. ^{[1
]}

Han, C. ^{[1
]}

Qiu, X. G. ^{[1
]}

Huang, J. ^{[1
]}

Huang, K. D. ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Mechatron Engn & Automat, Changsha 410073, Peoples R China

来源：

DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13卷

关键词：

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, we provide an approach to investigate combat systems based on High-Level Architecture (HLA). We design the architecture, prototyping, and reference model of a tactical combat system to support data mining, an analysis method to process massive simulation data. In order to find the nonlinear behaviors of the combat system, we choose a mining algorithm of none all-connected neural networks, which are optimized according to the structure of the reference model. With the utilization of neural networks, we set up a military knowledge discovery model and find some determining parameters in warfare. Besides, we capture some nonlinear behaviors of the found parameters.

引用

页码：86 / 90

页数：5