Classification of the real estate property market based on ART neural network
Ying Xiong · Journal of Xian University Engineering Science and Technology · 2005
The accurate classification of the property market of the real estate is prerequisite and foundation of real (estate) development decision-making and risk controlling. The traditional methods, regression analysis (method) fuzzy clustering method, have many shortcomings such as difficult modeling, tedious calculating and bad (adaptability). Therefore,the categorized method of real estate property based on ART neural network is put forward. This method avoided the tedious modeling course and simplified the classified calculating, has very strong adaptive capacity because of its characteristic of unsupervised study. At the same time, the rationality and feasibility of the method are proved and the potentiality and measures of its practical application are probed into by taking the real estate market of Hangzhou as an example.