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Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 607-611
ABSTRACT
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.
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CITATION

W. Yihuai, Z. Shukui, S. Yong, L. Feixiong and L. Chunping, "A Forecasting Model for Parking Guidance System," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 607-611.
doi:10.1109/CSIE.2009.1088
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