Applying perceptron-based neural networks in property valuation
Journal Title: Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie - Year 2005, Vol 7, Issue 1
Abstract
The article presents a method for applying a system of multi-layer perceptron-based neural networks, trained to implement a classification task, in the field of property valuation. The presented method, rooted in the ability of such networks to approximate the probability of input vector membership in a defined class, makes it possible to assess a probability density distribution for property prices instead of an output in the form of a single price. The generated neural model was used for research based on a set of data concerning property prices in Boston area. The article includes research results and conclusions supporting viability of the approach.
Authors and Affiliations
Janusz Morajda
Keywords
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