计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
12期
247-251,256
,共6页
自适应神经模糊推理系统%k近邻%房产评估%地理位置
自適應神經模糊推理繫統%k近鄰%房產評估%地理位置
자괄응신경모호추리계통%k근린%방산평고%지리위치
Adaptive Neuro-Fuzzy Inference System(ANFIS)%k-nearest neighbor%real estate assessment%location
房产评估是个较为复杂的非线性过程，目前的方法存在房产近邻难以定义等问题。为解决这一问题，提出基于k近邻的自适应神经模糊推理方法，并应用于房产评估。该方法通过定义不同意义的全变量、部分变量、空间、时空的k近邻，计算k近邻均价，将k近邻均价加入模型。实验结果表明，使用基于空间k近邻和时空k近邻改进自适应神经模糊推理方法对房产价格进行预测，准确性显著提高。
房產評估是箇較為複雜的非線性過程，目前的方法存在房產近鄰難以定義等問題。為解決這一問題，提齣基于k近鄰的自適應神經模糊推理方法，併應用于房產評估。該方法通過定義不同意義的全變量、部分變量、空間、時空的k近鄰，計算k近鄰均價，將k近鄰均價加入模型。實驗結果錶明，使用基于空間k近鄰和時空k近鄰改進自適應神經模糊推理方法對房產價格進行預測，準確性顯著提高。
방산평고시개교위복잡적비선성과정，목전적방법존재방산근린난이정의등문제。위해결저일문제，제출기우k근린적자괄응신경모호추리방법，병응용우방산평고。해방법통과정의불동의의적전변량、부분변량、공간、시공적k근린，계산k근린균개，장k근린균개가입모형。실험결과표명，사용기우공간k근린화시공k근린개진자괄응신경모호추리방법대방산개격진행예측，준학성현저제고。
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.
