A Research On The Residence Real Estate Investment Environment In The Capital Cities Of Central China

The common residence of the people’s livelihood and the exploitation’s pervasiveness, so as to the evaluationon the real estate investment environment of the common residence becoming a synthetic projects. Supported bythe National Natural Science Foundation “Study on Dynamics and Expectations of Urban Real Estate AssessmentModel”, the paper studies the dynamic evaluation index system and evaluation model to build in residential realestate investment environment in the middle of the capital city of common residence real estate. Summarizing thewhole work, the main contributions of dissertation are summarized as follows:1, Setted up a dynamic evaluation index system of common residence real estateinvestment of the middle of the capital city.Selected as dynamic index for ordinary commercial housing investment environment, and to build a simpleand efficient capital cities in central ordinary commercial residential real estate investment environment in thedynamic evaluation index system.2, Constructed of ordinary commercial residential real estate investment environment inthe central provincial capital cities weighted comprehensive evaluation model based onentropy weight method.Use of the middle of the capital cities of indicator date, the establishment of a dynamic evaluation of thecomprehensive evaluation model based on the weighted entropy method, the average residential real estateinvestment environment, and draws the sort of the pros and cons of the six cities in the ordinary commercialhousing investment environment.3, Constructed the BP neural network model of the ordinary commercial housinginvestment environment of the central provincial capital city.Select the sample date of the four cities of Wuhan, Zhengzhou, Changsha, Hefei, training, and build a centralprovincial capital city of the ordinary commercial residential real estate investment environment in BP neuralnetwork model, the two cities, in Nanchang, Taiyuan date as test date, come to the error evaluation value and themodel from the weighted composite evaluation based on entropy weight method, and conclude that the evaluationfindings.