摘要
对应用人工神经网络技术计算飞机起飞滑跑距离进行了研究,给出了基于BP网络的飞机起飞滑跑距离计算模型。对飞机实际滑跑距离及其影响因素进行了归一化处理,仿真结果表明该方法是有效可行的。
By applying artificial neural network technology, research is conducted on the calculation of aircraft taking-off running distance. This paper presents a new calculating model of aircraft taking-off running distance based on BP network. It processes the actual aircraft taking -off running distance and the influential factors unitarily. The results of simulation show that this method is effective and feasible.
出处
《空军工程大学学报（自然科学版）》
CSCD
2004年第6期4-6,共3页
Journal of Air Force Engineering University(Natural Science Edition)
基金
军队科研基金资助项目
关键词
滑跑距离
影响因素
神经网络
BP算法
taking-off running distance
influential factor
neural network
BP algorithm
