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;