[1] Chen N, Ribeiro B, Chen A. Financial credit risk assessment: a recent review[J]. Artificial Intelligence Review, 2016, 45(1): 1-23. [2] 张目,周宗放.基于投影寻踪和最优分割的企业信用评级模型[J].运筹与管理,2011,20(6):226-231. [3] 焦自春.农业银行农户小额贷款发展研究[D].北京市:北京交通大学,2010. [4] Sun S T, Yannelis C. Credit constraints and demand for higher education: evidence from financial deregulation[J]. Review of Economics and Statistics, 2016, 98(1): 12-24. [5] 王伟,言午.电力资产的分类及评估方法初探[J].中国资产评估,2002(4):23-24. [6] 张钦,王锡凡,王建学,冯长有,刘林.电力市场下需求响应研究综述[J].电力系统自动化,2008,32(3):97-106. [7] Balios D, Thomadakis S, Tsipouri L. Credit rating model development; an ordered analysis based on accounting data[J]. Research in International Business and Finance, 2016, 38: 122-136. [8] 杨淑霞,吕世森,乔艳芬.用电客户信用的主客观评价及分析[J].中国电力,2005,38(6):1-4. [9] 朱兵,贺昌政,李慧媛.基于迁移学习的客户信用评估模型研究[J].运筹与管理,2015,24(2):201-207. [10] Zhu K J, Chen P C, Chang Y T. A credit risk rating model based on fuzzy neural network[M]. Advances in Neural Network Research and Applications. Berlin:Springer Berlin Heidelberg, 2010: 161-171. [11] 张发明.一种融合SOM与K-means算法的动态信用评价方法及应用[J].运筹与管理,2014,23(6):186-192. [12] Kim K, Ahn H. A corporate credit rating model using multi-class support vector machines with an ordinal pairwise partitioning approach[J]. Computers & Operations Research, 2012, 39(8): 1800-1811. [13] 郭宇,王畅,胡鑫.客户电费缴费方式浅析[J].中国科技博览,2013(21):573-574. [14] 李锋,何洋.大用户放开后电力营销策略[J].中国电力,2007,40(6):56-60. [15] Mahalingam P R, Vivek S. Predicting financial savings decisions using sigmoid function and information gain ratio[J]. Procedia Computer Science, 2016, 93: 19-25. [16] Fadipe-Joseph O A, Moses B O, Oluwayemi M O. Certain new classes of analytic functions defined by using sigmoid function[J]. Advances in Mathematics, 2016(1): 83-89. |