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公交线路客流模糊神经网络预测模型
引用本文:杨新苗,王炜,顾维平,周明保.公交线路客流模糊神经网络预测模型[J].公路交通科技,2000,17(4):38-40,46.
作者姓名:杨新苗  王炜  顾维平  周明保
作者单位:东南大学,江苏,南京,210096
基金项目:国家高技术研究发展计划(863计划),59838310,
摘    要:提出一种基于模糊神经网络理论的公交线路客流预测模型。实验比较发现,该模型具有较强的自适应性,其预测结果优于常规时间序列模型AR、ARMA得到的预测结果。该模型适用于公交企业运营调度管理的需要。

关 键 词:模糊神经网络  线路客流预测  公共交通  运营调度

Applying Fuzzy Neural Network to Predict Bus Line Passenger Flow
YANG Xin-miao,WANG Wei,GU Wei-ping,ZHOU Min-bao.Applying Fuzzy Neural Network to Predict Bus Line Passenger Flow[J].Journal of Highway and Transportation Research and Development,2000,17(4):38-40,46.
Authors:YANG Xin-miao  WANG Wei  GU Wei-ping  ZHOU Min-bao
Abstract:A new model for predicting short-term bus line passenger flow based on the theory of adaptive neural-fuzzy inference system (ANFIS) has been raised in this paper. Test results from this fuzzy neural model have showed better adaptability and fitness than results from AR, and ARMA, which best satisfies practical operation needs from public transit enterprise.
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