基于BP神经网络的弹炮结合系统作战效能评估  

Evaluation of operational effectiveness for anti-aircraft gun-missile system based on BP neural networks

作　　者：周燕[1] 陈中 李为民[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《系统工程与电子技术》2005年第1期84-86,共3页Systems Engineering and Electronics

基　　金：高等学校骨干教师资助计划(GG-110-90039-1004)

摘　　要：以拦截巡航导弹为例,针对抗击低空目标特点,提出了弹炮结合防空武器系统作战效能评价指标体系,简要分析了指标选取的理由。然后,采用专家打分的方法取得了几组训练样本,并对所构造的三层BP神经网络进行训练,当训练精度达到要求后,再运用BP神经网络对几种典型的弹炮结合防空武器系统对巡航导弹的作战效能进行了评估。结果表明,在选定指标的基础上,用训练好的BP神经网络评估弹炮结合防空武器系统作战效能是合理的,减少了评估中的人为因素,使评估的结果更为可信。研究结果可为在现有武器装备的基础上开发和研制新型弹炮结合防空武器系统提供理论参考。Taking the interception of a cruise missile for example, an index system for evaluating the operational effectiveness of anti-aircraft gun-missile system against a cruise missile is proposed. The reasons for selecting the indexes are analyzed briefly. Then with delphi method, several groups of training samples are chosen to train the BP neural networks. When the training precision reaches the requirement, the BP neural network is applied to evaluate the operational effectiveness of some typical anti-aircraft gun-missile systems. The method limits artificial factors during the evaluation, making the solution more reasonable and creditable. The novelty of this method lies in the establishment of index system. The conclusion can provide a theoretical reference for development and manufacturing of an antiaircraft gun-missile system based on the existing weapon system.

关 键 词：弹炮结合防空武器系统 作战效能 巡航导弹 BP神经网络 

分 类 号：N945.16[自然科学总论—系统科学]