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A Car-Following Model Based on Radial Basis Function Neural Network
Author(s): 
Pages: 331-334
Year: Issue:  4
Journal: TRANSACTIONS OF BEIJING INSTITUTE OF TECHNOLOGY

Keyword:  车辆跟驰人工神经网络最近邻聚类学习算法径向基网络;
Abstract: 针对由于驾驶行为的不确定性,难以建立精确的车辆跟驰模型的问题,应用径向基函数神经网络建立了跟驰模型,改进了基于最近邻聚类的网络学习算法,并利用跟驰数据对模型进行了验证.结果表明,该网络模型与多层前馈网络模型相比,结构简单,训练时间短,精度高,适宜在线进行实时预测.
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