Los Angeles, CA
March 31, 2009 to April 2, 2009
This paper researches prediction problems of Parking Occupancy Rate (POR) for city Parking Guidance System (PGS). First, giving the POR model based on BP Neural Network. Second, discuss the structure of BP Neural Network. At last, make a compare for different BP methods. Experimental results show that the POR predicting BP network’s topology structure is 5-5-1, the generalization capacity is improved highly by combining self-adaptable studying rate and momentum.
Sun Yong, Liu Chunping, Wang Yihuai, Zhang Shukui, Li Feixiong, "A Forecasting Model for Parking Guidance System", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 607-611, doi:10.1109/CSIE.2009.1088