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基于Hopfield网络的单机场地面等待优化算法
Optimal Algorithm for Single Airport Ground-holdingProblem Basing on Hopfield Neural Network
【摘要】 空中交通流量管理中的一个有效方法是采用地面等待策略,但地面等待算法一直是一个难点。通过对单机场地面等待模型进行合理的转换,提出了基于Hopfield神经网络的启发式算法,通过理论推导,证明了算法的可行性。
【Abstract】 One of the effective solutions to the overflow of the air traffic volume is an involvement of a tactic to allow respectively designated aircrafts waiting on the ground.But to predicate or estimate airplanes’ grounding is always a hard problem to solve.The author takes a single airplane’s grounding as a pattern to demonstrate reasonable alternatives,and proposes, based on Hopfield neural network,a calculation method of intelligence inciting,and proves it correct in its convincingly theoretical work.
【关键词】 空中交通管理;
流量控制;
地面等待策略;
Hopfield网络;
【Key words】 air traffic management; flow control; ground-holding policy; Hopfield neural network;
【Key words】 air traffic management; flow control; ground-holding policy; Hopfield neural network;
【基金】 中国民航总局科技基金项目(2003-193-18).
- 【文献出处】 中国民航学院学报 ,Journal of Civil Aviation University of China , 编辑部邮箱 ,2004年03期
- 【分类号】V355
- 【被引频次】19
- 【下载频次】168