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自贡市房价走势分析——基于马尔可夫转换波动和改进的小波神经网络
引用本文:周锋. 自贡市房价走势分析——基于马尔可夫转换波动和改进的小波神经网络[J]. 科技信息, 2012, 0(1): 295-296,260
作者姓名:周锋
作者单位:四川理工学院理学院,四川自贡643000
摘    要:本文应用马尔可夫转换波动和改进的小波神经网络理论及软件,对自贡市房地产价格走势问题进行分析,建立房地产价格波动模型。得到影响房地产价格的实际利率变动率、人口增长指数、建安成本指数和人均支配收入四大主要因素,对自贡市房地产价格走势进行预测。具有较强的实践性。

关 键 词:房地产价格  马尔可夫波动模型  小渡神经网络模型

Zigong House Prices Outlook Analysis --Based on Markov Convert Wave and Improvement of Wavelet Neural Network
ZHOU Feng. Zigong House Prices Outlook Analysis --Based on Markov Convert Wave and Improvement of Wavelet Neural Network[J]. Science, 2012, 0(1): 295-296,260
Authors:ZHOU Feng
Affiliation:ZHOU Feng (Sichuan University of Science and Technoiogy,Zigong Sichuan, 643000)
Abstract:The real estate price trend problems in Zigong City were analyzed by use of Markov Convert Wave , Improve Wavelet Neural Network Theory and MATLAB Software in this paper and the real estate price wave model was established. Getting influence the real estate price real interest rates change rate, population growth index, the fabrication cost index and arrange the income per capita four factors, the real estate price trend of Zigong is forecast, with strong practicality.
Keywords:Real estate price  Markov fluctuations model  Wavelet neural network model
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