基于资源分配神经网络对企业职工住房公积金贷款风险的防范  

作　　者：周福明 张洪江[2] 王莎莎[3] 

机构地区：[1]安康市住房公积金管理中心,陕西安康725000 [2]安康学院,陕西安康725000 [3]安康市财政局,陕西安康725000

出　　处：《现代物业（中旬刊）》2009年第1期3-5,共3页Modern Property Management

摘　　要：提出一种基于资源分配神经网络的企业信用评价模型,以达到控制企业职工住房公积金贷款风险的目的。主要思想是当神经网络在学习过程中发现未建模型的样本时,分配新的计算节点,不断对网络模型进行完善。该模型以企业信用评价体系的参量作为输入,以企业的信用评价等级作为输出,对企业职工住房公积金的贷款风险具有广阔的运用前景。Based resource Assign network,A enterprise credit evaluation model in order to achieve control of enterprises housing accumulation fund loan risk. The main idea is that when neural networks found in the learning process ,and continuously improve on the network model. The model is based on enterprise credit evaluation system parameters as input to enterprise grade credit rating as the output of the enterprises of housing accumulation fund loan risk has broad application prospects for the corporate credit rating.

关 键 词：资源分配网络 数据中心 隐节点 公积金贷款 

分 类 号：F293.3[经济管理—国民经济] F272.92