A REAL ESTATE EVALUATION RISK EARLY-WARNING MODEL BASED ON IMMUNE ALGORITHM

摘要：

For the reason that there are lots of uncertain factors existing in the real estate evaluation market, the traditional and static evaluation methods, such as organization ranking or yearly interrogating, are not efficient for following and monitoring the risk exactly.A novel intelligent alerting model, designed in this paper, can sense abnormity and identify risk exactly, based on the knowledge of artificial immunology and r-contiguous matching function with weight values.The factors that influence the evaluation market will be quantitated and coded.So the model can detect the abnormal factors by the self-adaptive learning and alert the risk of real estate evaluation market exactly and timely.

关键词： Real estate evaluation market Artificial immunology Risk early-warning

作者: ZE-JUN WU YONG HAN YI-WEN LIANG

作者单位: School of Computer, Wuhan University, Luojia Mountain, Wuhan 430072, China;College of Information, Z College of Information, Zhongnan University of Economics and Law, Nanhu Road No.1, Wuhan 430073, Chi School of Computer, Wuhan University, Luojia Mountain, Wuhan 430072, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 314-318

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）