摘要
运用神经网络的Hopfield优化电路,对一种煤种可相互代用的煤炭调运问题进行了优化仿真计算,其计算结果可为铁路部门的煤炭运输提供定量依据.同时此算法,对于其他的铁路运输问题也是可行的.
By means of Hopfield optimized circuit based on neural network,optimization calculation of coal allocation and transportation is carried out.The calculated result may well provide quantitative basis for coal transportation in the railway section.In the meanwhile,the calculation is also applicable to other railway transportation problems.
出处
《长沙铁道学院学报》
CSCD
北大核心
2003年第2期98-101,共4页
Journal of Changsha Railway University
关键词
煤炭调运
神经网络
优化
coal allocation and transportation
nerve network
optimization
