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基于xDeepFM的铁路货物运输时间预测 被引量:4
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作者 蒋哲远 葛承宇 +1 位作者 陈超 米希伟 《交通运输工程与信息学报》 2022年第1期39-46,97,共9页
铁路货物运输时间会影响物流交付、列车调度等,准确的铁路货物运输时间预测是合理制定运输组织方案的关键。货物列车的运营受很多复杂因素的耦合影响,而既有研究普遍缺乏对各因素特征交互的深入探索,为了探索铁路货物运输时间预测新的... 铁路货物运输时间会影响物流交付、列车调度等,准确的铁路货物运输时间预测是合理制定运输组织方案的关键。货物列车的运营受很多复杂因素的耦合影响,而既有研究普遍缺乏对各因素特征交互的深入探索,为了探索铁路货物运输时间预测新的特征融合机制、提高整体预测效果,本文创新性地将智能推荐算法领域的xDeepFM算法引入货运时间预测问题。基于该算法的因子分解机、深度学习等思想构建了货运时间预测模型,设计了数据预处理、特征映射及参数寻优模块,利用模型能自动高效学习复杂因素的显式和隐式高维特征交互关系来提升预测效果,为解决铁路货物运输时间预测问题提供了新思路。在案例研究中,本文选取2种经典机器学习模型(LSSVM、随机森林模型)和3种新颖深度学习模型(DNN、CNN、LSTM)作为对比模型。实验结果表明:本文所建的xDeepFM模型的预测误差MSE为0.4991,MAPE为3.473%,相较于对比模型,xDeepFM模型具有更高的预测准确度,适合运营环境复杂的货物运输预测问题,能够实现较好的预测效果。 展开更多
关键词 铁路运输 xDeepFM 深度学习 时间预测 神经网络
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Optimal array layout of cylindrical baffles to reduce energy of rock avalanche 被引量:2
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作者 BI Yu-zhang WANG Dong-po +3 位作者 FU Xian-lei LIN Yi-xiong SUN Xin-po jiang zhe-yuan 《Journal of Mountain Science》 SCIE CSCD 2022年第2期493-512,共20页
The array of baffles protection structure is a flow resistance structure with good drainage,blocking,and intercepting effects on the rock avalanches.In this research,the physical model test on rock avalanches was cond... The array of baffles protection structure is a flow resistance structure with good drainage,blocking,and intercepting effects on the rock avalanches.In this research,the physical model test on rock avalanches was conducted.Three parameters(column spacing,row spacing,and a number of baffles)were used as indicators to determine the optimal layout of the array of baffles for energy efficiency consumption blocking.Then,the lattice Boltzmann numerical simulation method was used to build a numerical simulation model of rock avalanches-array of the baffles-hazard-bearing body to obtain the rock’s velocity attenuation and flow trajectory avalanches in the impact baffle protection structure.Finally,the results of the physical model test and the numerical simulation were mutually confirmed.The following conclusions were drawn through two methods of physical model test and numerical simulation.(1)The optimal layout parameters of array of baffles were determined as three rows of array of baffles(The number of baffles in each row is 7,8,9),column spacing Sc=3.5,and row spacing Sr=4.5.(2)Under the conditions of high baffle density(such as Sc=1.5,2.5),the rock avalanches would produce a certain degree of circumfluence,which would increase the fluid velocity by at least 24.5% over the average velocity,so the column spacing density should be increased appropriately to achieve the optimal effect of reducing the energy of rock avalanches.(3)In the event of a prototype grooved rock avalanches with a velocity close to 24.5 m/s and a flow depth of about 1.5 m,the three-row array of baffles protection with the parameters Sc^(*)=1.18 m and Sr^(*)=1.51 m could be arranged,playing the role of optimizing the array of baffles to guide the flow and block the energy consumption.LBM experiments can be used to replace laboratory experiments to some extent.Further Lattice Boltzmann method-Discrete element method(LBM-DEM)studies are required before applications to practical engineering. 展开更多
关键词 Lattice Boltzmann Physical model Numerical simulation Energy consumption optimization
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