@inproceedings{52d37664ed634399bb581dfa82ce2aa3,
title = "Notice of Retraction: Evaluation of avionic system based on OLS-RBF",
abstract = "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.",
keywords = "avionic system, neural network, OLS-RBF, system evaluation",
author = "Kun Zhang and Deyun Zhou",
year = "2011",
doi = "10.1109/ICNC.2011.6022116",
language = "英语",
isbn = "9781424499533",
series = "Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011",
publisher = "IEEE Computer Society",
pages = "571--574",
booktitle = "Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011",
note = "2011 7th International Conference on Natural Computation, ICNC 2011 ; Conference date: 26-07-2011 Through 28-07-2011",
}