期刊文献+

改进的RBF神经网络交通流预测算法

A Traffic Flow Forecast Algorithm of Modified RBF Neural Network
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摘要 短时交通流预测是实现智能交通控制的前提与基础。提出了一种基于粗神经网络的RBF短时交通流预测算法,该算法在交通流量预测方面明显优于常规RBF神经网络,且具有较高的实时性。 The short-term traffic flow forecast is the premise and foundation of intelligent traffic control,proposing a RBF traffic flow forecast algorithm based on rough neural network,the model is superior to conventional RBF neural network in traffic flow forecast,and high Real-time.
出处 《电脑编程技巧与维护》 2011年第14期41-42,65,共3页 Computer Programming Skills & Maintenance
基金 广东省自然科学基金资助项目(04009488) 广东省科技计划项目(2005B10101015)
关键词 交通流预测 粗糙集 RBF网络 Traffic flow forecast Rough sets RBF network
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参考文献4

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二级参考文献9

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