摘要
根据资信评估理论，结合我国企业实际，设计企业客户信用评估的指标体系，提出 用模糊Ｈａｍｍｉｎｇ网络进行客户信用等级评定．实证结果表明：与传统方法（ＢＰ网络、模 糊Ｃ一均值算法）相比，前者具有学习速度快，结果稳定，特别适合于具有模糊性概念的 信用评估问题．
Based on theory of credit evaluation and the actual conditions of enterprises of china, the guidelines system for client's credit evaluation is designed, and using fuzzy hamming net to access the credit level, the result indicates that fuzzy hamming net is more timesaving and stable compared with the traditional techniques, and is specially suitable for the research of credit evaluation which has many punch-drunk conceptions.
出处
《河北工业大学学报》
CAS
2002年第1期43-48,共6页
Journal of Hebei University of Technology
基金
河北省自然科学基金资助(600059)
