计算机工程与应用Issue(12)：247-251,256,6.DOI:10.3778/j.issn.1002-8331.1207-0026
改进的ANFIS在房产评估中的应用
Application of improved ANFIS in real estate property assessment
史东辉1
作者信息
- 1. 安徽建筑大学 电子与信息工程学院，合肥 230088
- 折叠
摘要
Abstract
The assessment of real estates is a complicated process in which there are some problems in the definition of neighbor. An adaptive neuro-fuzzy inference system added the k-nearest neighbors approach is used in the assessment of residential properties. By defining different k-nearest neighbors including all variables, partial variables, location, location and time, the average neighbor price of every real estate can be computed, then it is added into the input variables of the model. The simulation results show that the model using k-nearest neighbors with a location or with a location and time es-timates the prices of properties more accurately.关键词
自适应神经模糊推理系统/k近邻/房产评估/地理位置Key words
Adaptive Neuro-Fuzzy Inference System(ANFIS)/k-nearest neighbor/real estate assessment/location分类
信息技术与安全科学引用本文复制引用
史东辉..改进的ANFIS在房产评估中的应用[J].计算机工程与应用,2014,(12):247-251,256,6.
