末敏弹命中概率预测模型研究  

Research of the Hit Ratio of TSP Forecast Modeling Based on Support Vector Machine

作　　者：唐克[1] 王存威[1] 

机构地区：[1]解放军炮兵学院火控教研室,合肥230031

出　　处：《舰船电子工程》2011年第3期119-121,146,共4页Ship Electronic Engineering

摘　　要：末敏弹是一种先进的新型弹药,由于其结构复杂,影响因素多,所以对其进行全面的系统优化设计比较困难。文章探讨了基于支持向量机的末敏弹命中概率预测模型的建模方法,并采用遗传算法对系统效能参数进行了优化,获得了影响系统效能的几个主要因素的合理搭配,为末敏弹的系统效能研究提供了依据。Terminarsensitive projectile（TSP） is an advanced new-type of ammunition.Because of its complex structure and various influencing factors,the overall optimal design of the TSP system is very difficult.The method for the hit ratio of TSP forecast modeling based on support vector machine is discussed.On this basis,using genetic algorithm,an optimal design of the forecast modeling based on support vector machine is carried out.From it an optimal arrangement of several main factors affecting the system efficiency is obtained.This method can provide a scientific foundation for the future efficiency research of TSP systems.

关 键 词：支持向量机 末敏弹 影响因素 预测 

分 类 号：TP302.7[自动化与计算机技术—计算机系统结构]