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