摘要
本文提出了一种基于BP神经网络的遗传算法,分别利用其局部和全局寻优能力强的特点综合为一种新的优化算法,并将改进的算法应用于交通流预测中。通过实例分析,可看到改进的模型在进行交通流预测时具有较好的预测效果。
The paper proposes a genetic algorithms based on BP neural networks. It uses their local and gtobal characteristic to put forwards a new optimization algorithms. And uses the new algorithms in traffic flow forecasting. Through the case analysis we find the improved model has good prodiction effect.
出处
《道路交通与安全》
2009年第2期25-28,共4页
Road Traffic & Safety
关键词
遗传算法
BP神经网络
短时交通流预测
genetic algorithms
BP neural networks
short-term traffic flow forecasting
