基于模糊数学和神经网络的目标选择模型研究  

Object Selective Modeling Based on Fuzzy Mathematics and NN

作　　者：龚雷[1] 刘怡昕[1] 郭宏伟[1] 

机构地区：[1]炮兵学院南京分院,江苏南京211132

出　　处：《计算机仿真》2009年第6期5-9,共5页Computer Simulation

摘　　要：目标选择模型是炮兵作战模拟研究的重要部分。根据目标选择需考虑的10个因素特点和其对目标选择的影响做了具体分析。在对目标选择考虑的因素进行量化时,采用模糊数学的方法,重点根据隶属函数的方法和原则来建立各单因素的隶属度函数并进行量化;在目标选择决策时,采用神经网络算法中的BP算法建立数学模型,并详细介绍了计算方法和步骤。最后,以某型自行火炮的目标选择过程为例,采用上述方法借助计算机进行仿真,其结果表明符合作战实际,证明使用模糊数学和神经网络的方法进行目标选择是正确和可行的。Object Selective Modeling is an important part of Artillery Simulation. According to 10 factors and the effect of object selection, the paper carries out a concrete analysis. For quantifying the object selective factors, it adopts fuzzy mathematics and builds subjection function of single factor. In object selection decision - making, it adopts BP arithmetic of NN to build mathematic model and introduces the calculating methods and process. At last, a type of self - propelled cannon is used for computer simulation. The simulation result accords with battle practicality and proves that using fuzzy mathematics and NN to select object is correct and feasible.

关 键 词：模糊数学 神经网络 目标选择模型 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]