A New Reducing Analysis Based on SVM for Farmers Professional Cooperative Management

Hong Wang; Peng Jun Dai

doi:10.4028/www.scientific.net/AMR.1044-1045.1831

Paper Titles

The Study of Service Quality and Customer Loyalty of C2C Platform
p.1816

The System Development and Implementation of Design Drawings Management and Archive Combination
p.1820

Using BPNN to Predict Number of Low-Income Households in Taiwan Based on Seasonally Adjusted Annualized Rates for Real GDP
p.1824

Views of the Communication Security of Power Supply Enterprises
p.1828

A New Reducing Analysis Based on SVM for Farmers Professional Cooperative Management
p.1831

The Awareness of Brand Building and the Brand Building Strategic Actions of Chinese Health Food
p.1835

The Fact Research of the Equipment and Facilities Integrated Management IT System for Chinese Oil Company
p.1839

The Initial Research of RB Programming Model and Quantity System for Private Investor in China Future Markets
p.1843

The Core Values of the Brand of Chinese Health Food
p.1847

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045A New Reducing Analysis Based on SVM for Farmers...

A New Reducing Analysis Based on SVM for Farmers Professional Cooperative Management

Abstract:

]: In this paper, a rural credit risk control factor was studied from the perspective of financial institutions. It was used of 386 farmer households from Heilongjiang province credit investigation data to carry out empirical. The article from the farmer’s farmers professional cooperative level of wealth, the level of debt, level of education, use of the loan in four aspects the establishment of rural credit risk identification index system, Construction of support vector classification model and the Logistic regression model. The results show that, Wealth and education levels have positive correlation, indebted level and use of the loan has negative correlation.Keywords: Management System; Support vector machine; Farmers Professional Cooperative;