A novel neural network ensemble based evaluation model for the risk of real estate investment

被引：0

作者：

Ping, Wang ^{[1
]}

Zhu, Bangzhu ^{[1
]}

机构：

[1] Wuyi Univ, Sch Management, Jiangmen, Guangdong, Peoples R China

来源：

PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON CONSTRUCTION & REAL ESTATE MANAGEMENT, VOLS 1 AND 2 | 2007年

关键词：

neural network ensemble; BP neural network; risk evaluation; real estate investment;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Real estate investment risk evaluation is an important economy index evaluating construction projects. In this paper, a novel risk evaluation method, neural network ensemble constituted by multiple BP neural networks, is proposed for real estate investment risk estimation. Matlab7.01 is used to setup and simulate the evaluation model. At last, an example is employed to testify its accuracy and value in practice, and the results show that neural network ensemble has a high generalization and feasible and valid for real estate investment risk evaluation.

引用

页码：699 / 701

页数：3

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