dc.contributor.author | Panayiotou, Panayiotis A. | en |
dc.contributor.author | Pattichis, Constantinos S. | en |
dc.contributor.author | Jenkins, David | en |
dc.contributor.author | Plimmer, Frances | en |
dc.creator | Panayiotou, Panayiotis A. | en |
dc.creator | Pattichis, Constantinos S. | en |
dc.creator | Jenkins, David | en |
dc.creator | Plimmer, Frances | en |
dc.date.accessioned | 2019-11-13T10:41:41Z | |
dc.date.available | 2019-11-13T10:41:41Z | |
dc.date.issued | 2000 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54710 | |
dc.description.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) | en |
dc.description.abstract | 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. | en |
dc.publisher | IEEE | en |
dc.source | Proceedings of the Mediterranean Electrotechnical Conference - MELECON | en |
dc.source | 10th Mediterranean Electrotechnical Conference (MALECON2000) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034476515&partnerID=40&md5=b650f6c5a90ecb30a1a3fb8c2571903f | |
dc.subject | Taxation | en |
dc.subject | Regression analysis | en |
dc.subject | Backpropagation | en |
dc.subject | Neural networks | en |
dc.subject | Probability | en |
dc.subject | Self organizing maps | en |
dc.subject | Houses | en |
dc.subject | Apartment houses | en |
dc.subject | Coefficient of dispersion | en |
dc.subject | Mean absolute percentage error | en |
dc.subject | Modular artificial neural network valuation system | en |
dc.subject | Multiple regression analysis | en |
dc.title | Modular artificial neural network valuation system | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.description.volume | 2 | |
dc.description.startingpage | 457 | |
dc.description.endingpage | 460 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: IEEE | en |
dc.description.notes | Conference code: 57862 | en |
dc.description.notes | Cited By :2</p> | en |
dc.contributor.orcid | Pattichis, Constantinos S. [0000-0003-1271-8151] | |
dc.gnosis.orcid | 0000-0003-1271-8151 | |