【摘要】 根据神经网络BP算法和专家系统原理 ,研究了航管装备故障预报的方法 ,给出了特征参数选取和知识库建立的过程 ,讨论了航管装备故障预报系统的系统结构和功能实现 ,界定了系统的推理机、解释机制、知识库规则和人机接口 ,并进行了航管装备机杨管制中心系统故障预报的过程举例 ,给出了一种基于神经网络实现航管装备故障预报系统的方法更多还原

【Abstract】 According to the BP algorithm of neural network and the theory of expert system, this paper studies the method of the fault forecasting of air control equipment. The selection of system characteristic parameters and the building process of repository are given. The structure of the fault forecasting system is illustrated and the illation machine of the system, interpret mechanism, repository rules and human-machine interface are clearly noted. The realization of the fault forecasting function in an airport air control system is analyzed. And the procedure of the method with a sample is discussed.更多还原