Application of Fuzzy Neural Networks on Missile Launcher Fault Prediction
Guifang Cai, Fanjun Hu
Available Online March 2013.
- 10.2991/iccsee.2013.645How to use a DOI?
- fuzzy neural network, fault prediction, arithmetic, fuzzy control, missile launcher.
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%.
- © 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/).
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 (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 -