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基于BP人工神经网络的城市轨道交通线网规划的综合评价
引用本文:王宏亮.基于BP人工神经网络的城市轨道交通线网规划的综合评价[J].城市公共交通,2011(6):50-52,56.
作者姓名:王宏亮
作者单位:西南交通大学交通运输与物流学院,成都,610031
摘    要:城市轨道交通线网规划传统的评价方法主要有层次分析法和模糊综合评判法等,而这些评价方法因其不可避免的主观性而导致评价结果可靠性不高.本文采用BP人工神经网络模型对城市轨道交通线网的规划方案进行评价,有效避免了评价过程中人工过多参与造成的主观性偏差,并采用仿真软件验证其有效性和可行性.

关 键 词:城市轨道交通线网规划  人工神经网络  BP网络  评价指标体系

Comprehensive evaluation for urban rail transit network planning based on BP Artificial Neural Network
Wang Hongliang.Comprehensive evaluation for urban rail transit network planning based on BP Artificial Neural Network[J].Urban Public Transport,2011(6):50-52,56.
Authors:Wang Hongliang
Institution:Wang Hongliang Transportation and Logistics Institute, The Southwest Jiaotong University, Chengdu 610031, China
Abstract:The traditional evaluation methods of urban rail transit network planning are malmy of AHP and tuzzy comprehensive evaluation, etc, but those methods have the inevitable disadvantage of subjective evaluation so that the results" reliability is not high. In this paper, BP artificial neural network model is used to evaluate the urban rail transit network planning which could avoid the subjective bias in evaluation process effectively as a result of to much involvement of human, and its effectiveness and feasibility is validated with simulation software
Keywords:Urban Rail Transit Network Planning  Artificial Neural Network  BP network  Evaluation IndexSystem
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