Modeling and Algorithm to Mission Reliability Allocation of Spaceflight TT&C System Based on Radial Basis Function Neural Network

摘要：

　　To study mission reliability allocation of the tracking,telemetry and command (TT&C) system,which is difficult to describe with a precise mathematical model and time-consumed to compute,a radial basis function neural network (RBFNN) modeling method with adaptive hybrid learning algorithm (AHL) is proposed.Principal component analysis (PCA) is used to determine the initial number of hidden units.Advanced gradient learning algorithm (AGL) to compute gradient information of network parameters is improved to accelerate convergence.Finally,realization details are provided,and simulation results show the effectiveness of the proposed method.

关键词： TT&C system mission reliability allocation RBFNN AHL PCA AGL

作者: Xingui Zhang Xiaoyue Wu

作者单位: College of Information Systems and Management National University of Defense Technology Changsha, China

会议类型: 国际会议

会议名称: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

会议地点: 成都

会议语种:英文

页码: 68-73

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）