Rural land price for compulsory acquisition appraisal model based on genetic neural network algorithm
文献类型：EI期刊论文
| 作者 | Gao Yan-Na ; Zhu Dao-Lin ; Chen Yu-Qi ; Zhang Xiao-Feng |
| 发表日期 | 2009 |
| 关键词 | Costs Genetic algorithms Land use Mathematical models Mergers and acquisitions |
| 英文摘要 | Rural land price for compulsory acquisition is a new form appears in the Reform of Land Acquisition Institution in China. Because of the double characteristic that the land ownership and land use change generally, it's difficult to evaluate by traditional method. This paper structures the influencing factor system of rural land price for compulsory acquisition first, and put forward the new approach of asserting the influencing factors by partial correlation analysis, then evaluating the price of rural land for compulsory acquisition by genetic algorithm and neural network. It also takes Tianjing as a case. The study demonstrates that genetic algorithm and neural network being able to take market information as backing to evaluate the rural land price for compulsory acquisition scientifically and objectively, has a high value of practical application. |
| 出处 | Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice
 |
| 卷 | 29期:4页:103-110 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/24915]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Gao Yan-Na,Zhu Dao-Lin,Chen Yu-Qi,et al. Rural land price for compulsory acquisition appraisal model based on genetic neural network algorithm. 2009. |
入库方式： OAI收割
来源：地理科学与资源研究所
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