指挥控制与仿真2017，Vol.39Issue(1)：25-29,36,6.DOI:10.3969/j.issn.1673-3819.2017.01.006
基于改进模糊神经网络算法的炮兵火力运用方案评估
Assessment of Artillery Fire Application Plan Based on Improved Fuzzy BP Neural Network
摘要
Abstract
To solve the subjection and uncertainty problems in the assessment of artillery fire application plan, the fuzzy theory is used in the BP neural network to assess them.The multiple population self-adaptive genetic algorithm is used to optimize the neural network to improve the efficiency of assessment.The index system, process and the model of the artillery fire application plan assessment are structured.In the final, an example is given to set up an analysis of simulation and validation, which proves an liable result and provides an effective way to assess the artillery fire application plan.关键词
炮兵火力运用方案/评估/神经网络/模糊理论Key words
artillery fire application plan/assessment/neural network/fuzzy theory分类
军事科技引用本文复制引用
刘铜,李小全,王永良,王键..基于改进模糊神经网络算法的炮兵火力运用方案评估[J].指挥控制与仿真,2017,39(1):25-29,36,6.基金项目
国防预研基金项目 （）
