混合模糊神经网络在信息化导弹部队作战效能评估中的应用  

Application of Combined Fuzzy Neural Network to Combat Effectiveness Evaluation of Informational Missile Corps

作　　者：周英平[1] 毕义明[1] 钱大庆[2] 王运吉[2] 

机构地区：[1]第二炮兵工程学院,西安710025 [2]第二炮兵装备研究院,北京100085

出　　处：《战术导弹技术》2008年第2期30-33,共4页Tactical Missile Technology

摘　　要：针对信息化导弹部队作战效能评估问题,建立了评估的指标体系,提出了一种将遗传算法和模糊神经网络相结合的混合模糊神经网络模型.详细介绍了这种方法的设计思想、结构及其实现.利用给出的样本对混合模糊神经网络模型进行训练和仿真,仿真结果表明,该模型可较好地克服人为因素和模糊随机性的影响,使评估结果更为合理可信.In view of the combat effectiveness evaluation of informational missile corps, the indices system is built up. A combined fuzzy neural network model by combining fuzzy neural network with genetic algorithm is presented. The idea, structure and realization of this method are introduced in detail. Lastly, the fuzzy neural network is trained and simulated by known samples. The results of simulation show that the model can greatly make up the influence of artificial factor and fuzzy randomness. It makes evaluation result more reasonable and credible.

关 键 词：信息化导弹部队 模糊神经网络 遗传算法 效能评估 

分 类 号：TJ760[兵器科学与技术—武器系统与运用工程]