Application of Fuzzy Neural Networks on Missile Launcher Fault Prediction

DOI

10.2991/iccsee.2013.645How to use a DOI?

Keywords

fuzzy neural network, fault prediction, arithmetic, fuzzy control, missile launcher.

Abstract

In order to improve the reliability, security and validity of such type Missile Launcher, The faults prediction theory is introduced based on fuzzy neural network. The faults prediction analysis model is built, and an advanced training algorithm is proposed. Such algorithm is tested by using in the fault prediction of the missile launcher. The Experiment results illustrate that by using the proposed model, the faults prediction speed is faster 80% than ever, the prediction veracity is advanced, and the cost is reduced to 50%.

Copyright

© 2013, 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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TY  - CONF
AU  - Guifang Cai
AU  - Fanjun Hu
PY  - 2013/03
DA  - 2013/03
TI  - Application of Fuzzy Neural Networks on Missile Launcher Fault Prediction
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2587
EP  - 2590
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.645
DO  - 10.2991/iccsee.2013.645
ID  - Cai2013/03
ER  -