基于模糊神经Petri网的武器装备效能评估模型

Weapon equipment effectiveness evaluation model based on fuzzy neural Petri net

将模糊Petri与神经网络理论相结合,提出了一种关于武器装备效能评估的模糊神经Petri网模型。将模糊逻辑规则应用到专家评判中得到模糊Petri网,建立基于模糊Petri网的武器装备效能评估模型,并在此基础上将人工神经网络引入到模糊Petri中,在模糊Petri模型上,用迭代最速下降法对模型的参数进行学习和训练,经过学习和训练的模型具有很强的学习能力以及对外界环境的自适应能力。以某型雷达对抗装备为例进行仿真验证,仿真结果表明该模型是可行和有效的。

A fuzzy neural Petri net model is put forward for weapon equipment effectiveness evaluation based on combination of fuzzy Petri technique and neural network. Fuzzy logic rules are used in expert judgement for obtaining the fuzzy Petri net, on which basis a model is built for evaluation of weapon equipment. Then artificial neural network is introduced into the Petri net. Steepest Descent Method is used for training the parameters of fuzzy Petri net model. As a result, the model has great learning capability and high adaptability to complicated environment. Taking ECM as a simulation example, the simulation result showed that model is feasible and effective.