Research And Application Of The Artificial Intelligence Methods In The Field Of Valuation

With the rapid development of computer science and technology, artificial intelligence technology is used widely in various fields. Nowadays, the issues focusing on the theory, method and applications of artificial intelligence become more and more common. In this case, the applications of artificial intelligence methods in the field of valuation, such as the land valuation, the real estate appraisal and the project appraisal, are studied in this paper.On one hand, the land valuation, real estate valuation and engineering valuation theory are described in detail. The basic theory of Back Propagation (BP) neural network and its improvement, the basic theory of Radical Basis Function (RBF) neural network, the basic theory of case-based reasoning and the design principles of expert system based on artificial neural network are analyzed. The digital land price model, which is used as the analysis and management of land prices visualization, is set up both with the geographical information processing software Surfer and the ArcGIS. The main influence factors of project cost are determined according to the analysis of the relevance between every variable with SPSS.On the other hand, some scientific and rational models about the application of artificial intelligence in the field of valuation is set up by combining research with practical test and joining theoretical analysis with practice proven. These models are: the model of land valuation based on BP neural network by taking the assessment of land prices in Xiamen City for example, the digital land price model based on Surfer and ArgGIS by the example of Xiamen residential land and the model of the estimation of real estate based on improved BP nerual network by taking the residential real estate appraisal of Xiamen for example. In addition, with 55 indexes of project assessment compiled in the case library from Xiamen, the building processes of evaluation model based on RBF neural network, based on case-based reasoning and the expert system of project cost based on the RBF neural network are elaborated .The expert systems based on RBF neural network with efficient learning ability, can fit the strong nonlinear relationship between network parameters, and solve the problem which is difficult to determine the analogies between the cases used in the field of valuation. The result is acceptable, which is amended and interpreted to the nerve network by case-based reasoning, and also solve the decision-making process which is called black box.The results show that the artificial intelligence methods such as neural networks, case-based reasoning, and artificial neural network based expert systems, can be applied into land valuation, real estate appraisal, valuation of engineering and other areas of valuation, which is not only has great theoretical significance, but also has a significant practical value.