摘要
采用BP神经网络,对停车场的空余泊位数量进行了预测,并针对BP神经网络训练过程中易震荡、收敛速度过慢和容易陷入局部最小的缺点,采用BP动量法与调节学习速率相结合的方法对其进行改进.通过仿真验证了BP神经网络对停车场空余泊位数预测的有效性,为区域的停车诱导提供了依据.
This paper used the BP neural network for the prediction of parking lot free park- ing number. In the process of the BP neural network training, used the BP momentum meth- od combined with self - adjusting learning rate to improve the basic BP neural network which was easy to appear shocking, convergence speed slowing and trapping in local minimum. The effectiveness of the improved BP neural network on the free parking number prediction was verified by simulation providing a basis for regional parking guidance.
出处
《哈尔滨商业大学学报（自然科学版）》
CAS
2015年第1期44-46,共3页
Journal of Harbin University of Commerce：Natural Sciences Edition
基金
黑龙江省智能教育与信息工程重点实验室开放基金项目(SEIE2014-3)
