Research and Implementation for PGS Based On BP Neural Network

被引：0

作者：

Sun, Yong ^{[1
]}

Liao, Lili

Wang, Jian

Zhang, Shukuei ^{[1
]}

Zhang, Maoqing

机构：

[1] Soochow Univ, Inst Comp Sci & Technol, Suzhou 215006, Jiangsu, Peoples R China

来源：

CJCM: 5TH CHINA-JAPAN CONFERENCE ON MECHATRONICS 2008 | 2008年

关键词：

Parking Guidance System (PGS); neural network; forecasting;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper researches prediction problems of Parking Occupancy Rate (POR) for city Parking Guidance System (PGS). First, gives the POR model based on BP Neural Network, and then adding the self-adaptable study rate adjustable methods and the dynamic redeployment function in base BP Neural Network to optimize it in aspect of enhance the efficiency, reduce training process and improving BP convergence. At last, make an compare for vary BP methods.

引用

页码：171 / 175

页数：5

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