摘要
阐述了光通信系统故障诊断过程中,应用BP神经网络模型的重要性。以专家经验和文献依据为途径,建立了光信号系统故障知识库。同时,选择了基于模糊综合评判为计算方法,建立了神经网络数学模型。最后,以光信号元件故障诊断实例为例,论证了BP神经网络法的可行性。
The analysis of the fault diagnosis of optical communication system based on BP fuzzy neural network: the fault diagnosis of optical communication system in the process, the importance of application of BP neural network model. Based on expert experiences and literature basis for the way, the establishment of a knowledge base of fault signal system. At the same time, the fuzzy comprehensive evaluation based on the calculation method, the neural network model is set up. Finally, the fault diagnosis of optical signal components as examples, demonstrates the feasibility of the method of BP neural network.
出处
《科技视界》
2016年第26期173-173,159,共2页
Science & Technology Vision
关键词
BP神经网络
光通信系统
故障诊断
BP neural network
Optical communication system
Fault diagnosis