Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

Application of Fuzzy Neural Networks on Missile Launcher Fault Prediction

Authors
Guifang Cai, Fanjun Hu
Corresponding Author
Guifang Cai
Available Online March 2013.
DOI
https://doi.org/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%.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
DOI
https://doi.org/10.2991/iccsee.2013.645How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccsee.2013.645
DO  - https://doi.org/10.2991/iccsee.2013.645
ID  - Cai2013/03
ER  -