| 基于BP神经网络的飞行动态实时预测方法 |
| |
| 引用本文： | 王树明,夏国平.基于BP神经网络的飞行动态实时预测方法[J].北京航空航天大学学报,2001,27(6):636-639. |
| |
| 作者姓名： | 王树明 夏国平 |
| |
| 作者单位： | 北京航空航天大学 管理学院 |
| |
| 基金项目： | 国家自然科学基金;79870005; |
| |
| 摘 要： | 针对传统Back-Propagation网络(简称BP网络)收敛速度慢、网络灵敏度过高和隐含层数难以确定等缺陷,提出一个改进型BP网络,提高了网络预测的实时性和精确性;然后将之应用到飞行动态预测问题上,充分发挥网络模型的学习、记忆和动态自适应性的优势,力图解决飞行器轨迹的描述和预测问题.
|
| 关 键 词： | 神经网络 时间序列预测 动态预测 |
| 文章编号： | 1001-5965(2001)06-0636-04 |
| 收稿时间： | 2000-03-21 |
| 修稿时间： | 2000年3月21日 |
Method of Flying Dynamic Real-Time Forecast Based on BP Neural Network |
| |
| WANG Shu-ming,XIA Guo-ping.Method of Flying Dynamic Real-Time Forecast Based on BP Neural Network[J].Journal of Beijing University of Aeronautics and Astronautics,2001,27(6):636-639. |
| |
| Authors: | WANG Shu-ming XIA Guo-ping |
| |
| Institution: | Beijing University of Aeronautics and Astronautics, School of Management |
| |
| Abstract: | The disadvantages of the traditional BP neural network include low speed of convergence, high sensitivity and indefinite layers, etc. This paper develops a new BP network model, which can improve the quality of the real time and precision, and applies the developed BP network model to the dynamic forecast of aircraft track. Owing to the advantages of BP network in the aspects of acquisition, remembrance and self adaptation, it can make the results of the dynamic forecast more efficient and more precise. |
| |
| Keywords: | neural network chronological estimation dynamic forecast |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《北京航空航天大学学报》浏览原始摘要信息 |
| 点击此处可从《北京航空航天大学学报》下载免费的PDF全文 |
