首页> 外文会议>International Conference on Applied Mechanics and Manufacturing System >Research on Aviation Material with Aviation Mishap Prediction Model Based on Neural Network and Its BP Algorithm
【24h】

Research on Aviation Material with Aviation Mishap Prediction Model Based on Neural Network and Its BP Algorithm

机译:基于神经网络的航空意外预测模型的航空材料研究及其BP算法

获取原文

摘要

In order to reduce the appearance of aviation material mishap, it is important to predict the aviation material mishap for safety management and decision-making body. Considering the advantage of neural network modeling, an aviation material mishap prediction based on neural network and its BP algorithm model is proposed. An actual example on fight mishap 10000-Hour-Rate data of USAF illustrates that the proposed prediction model has an accurate prediction.
机译:为了减少航空材料的外观,重要的是预测安全管理和决策机构的航空材料机会。考虑到神经网络建模的优点,提出了基于神经网络及其BP算法模型的航空材料Mishap预测。关于战斗Mishap 10000小时速率数据的实际示例说明了所提出的预测模型具有精确的预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号