... regression analysis, artificial neural networks and expert systems. Clearly, there are distinct advantages in integrating two or more information processing systems that would address some of the discrete problems of individual techniques. Examines first, the strategic development of mass appraisal...

...Stanley McGreal; Alastair Adair; Dylan McBurney; David Patterson The potential application of data mining techniques in the extraction of information from property data sets is discussed. Particular interest is focused upon neural networks in the valuation of residential property with an evaluation...

... longitudinal rather than cross‐sectional analysis. Shows that it is possible to do this by using a novel process we have termed “backtrack valuations” or “backtracking”. The method proposed creates a simulated historic record of valuations, from which a neural network can be trained and then used as a model...

...Margarita M. Lenk; Elaine M. Worzala; Ana Silva Compares the predictive performance of artificial neural networks to hedonic pricing models, a more traditional valuation tool. The results document similar predictive performance evidenced from both techniques, which contradicts some of the earlier...

...Danny P.H. Tay; David K.H. Ho Introduces the theory of artificial neural networks (ANN). Discusses its application to the valuation of residential apartments. Compares the performance of the back propagation neural network (BP)model in estimating sale prices of apartments against the traditional...