摘要
提出了基于遗传算法神经网络的个人信用评估模型,利用标准遗传算法和Solis&Wets算法的混合算法同时优化神经网络的结构和权重/阈值系数,并在探讨个人信用评估指标的基础上,针对模型实际应用问题提出了解决方案.
Individual credit appraisal technology is one of the critical issues of building national individual credit system. An individual credit appraisal model based neural network whose topology and connection weights are optimized by genetic algorithm (GA\|NN) is proposed in this paper. And the detail of the model's application is given based the discussion about the individual credit appraisal indexes.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2003年第12期70-75,115,共7页
Systems Engineering-Theory & Practice
关键词
个人信用评估
GA
神经网络
遗传算法
市场经济
individual credit appraisal
neural networks
genetic algorithm
solis&wets algorithm
individual credit appraisal indexes
