Weapon equipment effectiveness evaluation model based on fuzzy neural Petri net
Zhi Geng · Electronics Optics & Control · 2007
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.