基于遗传神经网络的联合作战方案评估
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摘要
遗传神经网络是处理不确定性和非结构化问题的一种有效工具。提出了一种基于遗传神经网络的联合作战方案评估方法,其基本原理是通过网络对已知作战方案样本的学习训练,对新样本进行模式识别。网络的输入为某型联合作战方案特征指标数据,输出为方案评估等级。仿真结果表明,该方法相比标准BP网络评估收敛速度更快,准确性更高;相比径向基网络计算精度有所改善,具有较好的适用性。
Genetic neural network is an effective tool in dealing with uncertainties and unstructured problems. This paper proposes a new evaluation method of joint operation scheme based on genetic neural network. Its basic principle is that the network can realize pattern recognition of new samples through learning from samples of joint operation schemes. The inputs of the network are index data of the joint operation schemes,the outputs are evaluation levels. The simulation results show that the method has higher accuracy and faster convergence speed compared with the standard BP network,and has better accuracy compared with RBF network.
Genetic neural network is an effective tool in dealing with uncertainties and unstructured problems. This paper proposes a new evaluation method of joint operation scheme based on genetic neural network. Its basic principle is that the network can realize pattern recognition of new samples through learning from samples of joint operation schemes. The inputs of the network are index data of the joint operation schemes,the outputs are evaluation levels. The simulation results show that the method has higher accuracy and faster convergence speed compared with the standard BP network,and has better accuracy compared with RBF network.
引文
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[2]王静岩,郑建军,吴裕树.一种基于神经网络的作战方案评估方法[J].军事运筹与系统工程,2005,19(1):57-61.
[3]刘祖煌,程启月.径向基神经网络的联合作战方案评估仿真[J].火力与指挥控制,2013,38(1):14-17.
[4]张淘沙,鲁艺.基于BP神经网络的UCAV航迹综合评价[J].火力与指挥控制,2017,42(7):153-156.
[5]郑玉军,田康生,邢晓楠,等.基于BP神经网络的多功能相控阵雷达威力评估[J].火力与指挥控制,2016,41(3):120-122.
[6]车建国,耿学和,杨作宾.基于改进算法的BP神经网络在故障诊断中的应用[J].战术导弹控制技术,2011,28(1):44-47.