Avionics System Failure Prediction Based on Bacteria Evolution and Gray Neural Network

摘要：

　　Aiming at the problem of the gray neural network easy to fall into local optimization,a failure prediction algorithm with bacterial evolutionary and gray neural network is proposed.First,a gray neural network fault detection model is established.Then,the bacterial evolutionary algorithm is selected to optimize the initial weights and thresholds of the network to solve the defect of network easy to fall into local optimization.Finally,several kinds of fault prediction effect of the algorithm are compared through the simulation experiment.The simulation results show that the algorithm combining bacterial evolutionary and gray neural network can achieve optimal prediction effect quickly.

关键词： Fault prediction Fault diagnosis Neural network Bacteria evolution

作者: Chaoqi Gu Deyun Zhou Xiaoyang Li

作者单位: Northwestern Polytechnical University, Xi’an, China

会议类型: 国际会议

会议名称: 2013西安国际航空维修与管理学术会议

会议地点: 西安

会议语种:英文

页码: 243-250

在线出版日期: 2013-11-25（万方平台首次上网日期，不代表论文的发表时间）