摘要
农户信用评估的研究对推动农村消费信用的发展,促进农村经济良好运行十分重要。本文在构造农户信用评估的指标体系的基础上,提出了农户信用评估神经网络模型的算法,利用实际搜集到的农户资料进一步建立了农户信用评估模型,继而构造了农户信用评估系统,并举例说明了该系统的实际运用,以期能为农村经济发展中的农户信用评价及相关研究提供一丝基础性启发。
Based on the importance of farmer credit evaluation, this paper constructs the quota system of farmer credit evaluation. Then it puts forward the arithmetic of artificial neural network model of farmer credit evaluation, and makes use of some data about farmers to set up the artificial neural network model of farmer credit evaluation. After that it puts forward the system of farmer credit evaluation. Finally, it analyzes the practice of this system, in order to offer fundamental suggestions for the farmer credit evaluation in developing rural economy.
出处
《运筹与管理》
CSCD
2004年第4期82-87,共6页
Operations Research and Management Science
基金
国家社会科学基金资助项目(02BJY081)
关键词
运筹学
农户信用评估
神经网络模型
系统设计
operational research
farmer credit evaluation
artificial neural network
system devise