The prediction on Residential real estate price Based on BPNN

被引：1
|
作者：
Xue, Hongbin [1 ]
机构：
[1] Hunan City Univ, Dept City Management, Yiyang 413000, Hunan, Peoples R China
来源：
PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA 2015) | 2015年
关键词：
prediction; price; real estate; BPNN; BUBBLE;
D O I：
10.1109/ICICTA.2015.256
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The paper brings up a mixed optimizing model based on IPSO-BPNN. The model has used IPSO to optimize the definition of original weights and threshold value. We take the real estate market in Changsha as an example. This algorithm can be applied in the price prediction of residential property.
引用
收藏
页码：1008 / 1013
页数：6
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