Notice of Retraction: Evaluation of avionic system based on OLS-RBF

Kun Zhang, Deyun Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
PublisherIEEE Computer Society
Pages571-574
Number of pages4
ISBN (Print)9781424499533
DOIs
StatePublished - 2011
Event2011 7th International Conference on Natural Computation, ICNC 2011 - Shanghai, China
Duration: 26 Jul 201128 Jul 2011

Publication series

NameProceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
Volume1

Conference

Conference2011 7th International Conference on Natural Computation, ICNC 2011
Country/TerritoryChina
CityShanghai
Period26/07/1128/07/11

Keywords

  • avionic system
  • neural network
  • OLS-RBF
  • system evaluation

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