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

被引：0

作者：

Wu, Ze-Jun ^{[1
,2
]}

Han, Yong ^{[2
]}

Liang, Yi-Wen ^{[1
]}

机构：

[1] Wuhan Univ, Sch Comp, Luojia Mt, Wuhan 430072, Peoples R China

[2] Zhongnan Univ Econom & Law, Coll Informat, Wuhan 430073, Peoples R China

来源：

PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年

关键词：

real estate evaluation market; artificial immunology; risk early-warning;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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 rise 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.

引用

页码：314 / +

页数：2

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