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神经网络在铁路空车调度问题中的应用
Application of Neural Networks to Empty Carriage Scheduling in Railway Transportation
【摘要】 对于铁路运输中空车调度组合优化问题,提出了该问题的组合优化方法,建立了三个神经网络模型和能量函数,用实例分析表明其结果优于现有的优化方法
【Abstract】 A neural network for optimization problem is presented, concerning the plan of empty carriage scheduling in railway transportation dispatching. Three kinds of neural networks models and relevant computational energy functions have been established. Simulation results based on real railway data are better than the existing approaches.
【关键词】 神经网络;
组合优化;
铁道运输;
【Key words】 neural network; combinatorial optimization; railway transportation;
【Key words】 neural network; combinatorial optimization; railway transportation;
【基金】 甘肃省自然科学基金
- 【文献出处】 兰州铁道学院学报 ,JOURNAL OF LANZHOU RAILWAY INSTITUTE , 编辑部邮箱 ,1999年01期
- 【分类号】U292,U292
- 【被引频次】43
- 【下载频次】268