Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering

A FPN Parameter Optimization Method Based on CDEDPSO

Authors
Qiumin Fan, Bing Xu
Corresponding Author
Qiumin Fan
Available Online April 2016.
DOI
10.2991/isaeece-16.2016.40How to use a DOI?
Keywords
optimization algorithm; FPN; PSO
Abstract

For the uncertain change characteristics of transition matrix parameters in complex FPN system,this paper presents a parameters optimization algorithm based on CDEDPSO.This article focuses on the weight, threshold and certainty of FPN optimized model and these parameters are analyzed, improved and simulated simultaneously.This method implements dynamic programming and self-learning of uncertain characterization parameters in FPN.Finally, in this paper, the method is applied to a FPN model and the feasibility and effectiveness of this method has been verified.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-181-0
ISSN
2352-5401
DOI
10.2991/isaeece-16.2016.40How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qiumin Fan
AU  - Bing Xu
PY  - 2016/04
DA  - 2016/04
TI  - A FPN Parameter Optimization Method Based on CDEDPSO
BT  - Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 206
EP  - 215
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-16.2016.40
DO  - 10.2991/isaeece-16.2016.40
ID  - Fan2016/04
ER  -