Evaluation of Avionic System Based on OLS-RBF

摘要：

In view of UAV system development and the need of the UAV avionics system health evaluation, this paper establishes the evaluation model of avionic system state base on OLS-RBF (Ordinary Least Squares-Radial Basis Function) neural network, calculates data centers of RBF neural network by OLS algorithm to avoid the shortcomings of tradition RBF neural network. We take avionic sensor system for example, train the RBF neural network with sensor real-time data as sample, change the initial parameter setting several times, get multi-simulation results, and analyze them. The simulation result indicates that this algorithm is reasonable and effective and it can meet the requirement of real-time computing.

关键词： component system evaluation avionic system OLS-RBF neural network

作者: Kun Zhang Deyun Zhou

作者单位: Department of Electronic Information,Northwestern Polytechnical University,Xian,China Department of Electronic Information,Northwestern Polytechnical University, Xian,China

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 590-593

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）