Research on Risk Assessment of Farmers’ Microcredit Based on BP Neural Network

Wei Ji; Xue Fang Zhang

doi:10.4028/www.scientific.net/AMM.121-126.1068

Paper Titles

Preparation of C/Cu Composite Powders by High-Energy Ball Milling
p.1049

Rapid Design System Based on Re-Development of Rhino
p.1053

Research on a New Model of MBD-Based Machining Process Design
p.1058

Research on Mass Customization Kitchen Cabinet Products Design
p.1063

Research on Risk Assessment of Farmers’ Microcredit Based on BP Neural Network
p.1068

Research on the Method of the Calibration of 3D Linear Scanning Probe System
p.1073

Secondary Development Research of Historytree
p.1080

Statistics Analysis of PCA-Based Sensor Fault Detection
p.1085

Study on the Memory Properties of Fractional Order Differential to Signals
p.1090

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Research on Risk Assessment of Farmers’...

Research on Risk Assessment of Farmers’ Microcredit Based on BP Neural Network

Abstract:

Our government always pushes hard forward the farmers’ microcredit of the rural credit cooperation. But actually, its risk is higher than other kinds of loan. Based on analyzing the risk of farmers’ microcredit, this paper builds risk assessment index system of farmers’ microcredit by using BP neural network. Through the paper, it can provide essential support and practical application for relative departments of farmers’ microcredit.

You might also be interested in these eBooks

Frontiers of Manufacturing and Design Science II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

1068-1072

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.1068

Citation:

Cite this paper

Online since:

October 2011

Authors:

Wei Ji, Xue Fang Zhang

Keywords:

BP Neural Network (BPNN), Farmers’ Microcredit, Risk Assessment

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Jiang Zhongli. Introduction of artificial neural network [M]. Beijing: Higher Education Press, 2001, pp.54-52.

Google Scholar

[2] MATLAB 6. 5 analysis and design of auxiliary neural network [M]. Beijing: Electronics Industry Press, 2003, pp.98-110.

Google Scholar

[3] Liu Xity based on MATLAB [J]. Journal of Foshan Institution of Science and Technology (Nature and Science Edition), 2005, 23(1).

Google Scholar

[4] Tan Shukui, You Heyuan. Assessment on sustainable use of land in Hubei province Based on the BP neural network [J]. Progress and countermeasures of science and technology, 2006. 10.

Google Scholar