Application of Fuzzy Neural Networks on Missile Launcher Fault Prediction

摘要：

　　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%.

关键词： fuzzy neural network fault prediction arithmetic fuzzy control missile launcher

作者: Cai Guifang Hu Fanjun

作者单位: The Department of Aeronautics Ammunition Engineer The First Aeronautics College of Air Force Xinyang,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2588-2591

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）