1. Modular artificial neural network valuation system
- Author
-
Panayiotou, Panayiotis A., Pattichis, Constantinos S., Jenkins, David, Plimmer, Frances, and Pattichis, Constantinos S. [0000-0003-1271-8151]
- Subjects
Taxation ,Apartment houses ,Modular artificial neural network valuation system ,Mean absolute percentage error ,Backpropagation ,Multiple regression analysis ,Houses ,Regression analysis ,Neural networks ,Coefficient of dispersion ,Probability ,Self organizing maps - Abstract
The objective of this study was to design, develop and test a Modular Artificial Neural Network Valuation system (MANN) incorporating Multiple Regression Analysis (MRA) for the assessment of houses and apartments in Strovolos municipality in Cyprus for taxation purposes. The system combined the assessment results of three neural network assessors: i) back-propagation (BP), ii) probabilistic network (PNN) iii) self-organising feature map (SOFM) and iv) MRA. Features include age, size, plot size, date of sale etc. The mean absolute percentage error (MAPE) and the coefficient of dispersion (COD) of the MANN system for houses were 10.67% and 10.57% respectively. The MAPE and the COD for apartments were 8.68% and 8.41% respectively. These findings compare favourably with other studies and satisfy International Association of Assessing Officers (IAAO) criteria for mass appraisal techniques. 2 457 460 Sponsors: IEEE Conference code: 57862 Cited By :2
- Published
- 2000