DocumentCode :
508059
Title :
Spatial Pattern Detection and BP Neural Network Analysis of Bank Mesh Point in Urban Area
Author :
MA, Junjie ; Yang, Shenglong ; YOU, Jianxin ; Zhang, Maolin
Author_Institution :
Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
Volume :
3
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
639
Lastpage :
643
Abstract :
In order to explore the spatial pattern of bank mesh point and its formation mechanism in urban areas, ESDA-GIS is used in this paper to investigate the mesh point of Agricultural Bank of China (ABC) and its impact factors. And the types of agglomerative are also summarized in this study. In addition, to model the distribution of the mesh points and the related location forces, the method of kernel density estimation is used, the computation values and other location factors are consolidated and attached to the regular grids that covered the study area, based on which we construct the integrated spatial database and the prediction model of back propagation network.
Keywords :
backpropagation; banking; neural nets; visual databases; Agricultural Bank of China; BP neural network analysis; back propagation network; bank mesh point; integrated spatial database; kernel density estimation; spatial pattern detection; Aquaculture; Computer networks; Economic forecasting; Environmental economics; Industrial relations; Information analysis; Neural networks; Pattern analysis; Technology management; Urban areas; bank mesh point; distribution; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
Type :
conf
DOI :
10.1109/ICNC.2009.473
Filename :
5365198
Link To Document :
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