Property valuations in times of crisis. Artificial neural networks and evolutionary algorithms in comparison

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 9157, Issue , 2015, Pages 194-209

  Tajani, Francesco ^a   Morano, Pierluigi ^a   Locurcio, Marco ^b   D’Addabbo, Nicola ^b  

^a POLITECNICO DI BARI   (Italy)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Artificial neural networks; Estimative analysis; Evolutionary polynomial regression; Genetic algorithms; Market value; Property valuations

Indexed keywords

ALGORITHMS; COMMERCE; COMPLEX NETWORKS; ESTIMATION; FINANCE; GENETIC ALGORITHMS; GENETIC PROGRAMMING; NEURAL NETWORKS; REGRESSION ANALYSIS;

ECONOMIC SITUATION; ESTIMATIVE ANALYSIS; EVOLUTIONARY POLYNOMIAL REGRESSIONS; EXPLANATORY VARIABLES; MARKET VALUES; MATHEMATICAL EXPRESSIONS; PROPERTY VALUATION; STATISTICAL ACCURACY;

EVOLUTIONARY ALGORITHMS;

EID: 84944459437     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-21470-2_14     Document Type: Conference Paper

References (37)

1. Barile, S., Magna, L., Marsella, M., Miranda, S.: A marketing decision problem solved by application of neural networks. In: International Conference on Computational Intelligence and Multimedia Applications (1999)
2. Berardi, L., Kapelan, Z., Giustolisi, O., Savic, D.: Development of pipe deterioration models for water distribution systems using EPR. Journal of Hydroinformatics 10(2), 113–126 (2008)
3. Brunson, A.L., Buttimer, R.J., Rutherford, R.C.: Neural Networks, Nonlinear Specification and Industrial Property Values. Working Paper Series, pp. 94–102. University of Texas at Arlington (1994)
4. Calabrò, F., Della Spina, L.: The cultural and environmental resources for sustainable development of rural areas in economically disadvantaged contexts. Economic-appraisals issues of a model of management for the valorisation of public assets. Advanced Materials Research 869–870, 43–48 (2014)
5. Calabrò, F., Della Spina, L.D.: The public-private partnerships in buildings regeneration: A model appraisal of the benefits and for land value capture. Advanced Material Research 931–932, 555–559 (2014)
6. D’Alpaos, C., Canesi, R.: Risks assessment in real estate investments in times of global crisis. WSEAS Transactions on Business and Economics 11, 369–379 (2014)
7. Del Giudice, V., De Paola, P.: Geoadditive models for property market. Applied Mechanics and Materials 584, 2505–2509 (2014)
8. Del Giudice, V., De Paola, P.: The effects of noise pollution produced by road traffic of Naples Beltway on residential real estate values. Applied Mechanics and Materials 587, 2176–2182 (2014)
9. Do, A.Q., Grudnitski, G.: A neural network analysis of the effect of age on housing values. Journal of Real Estate Research, American Real Estate Society 8(2), 253–264 (1993)
10. Dzeng, R.J., Lee, H.Y.: Optimizing the development schedule of resort projects by integrating simulation and genetic algorithm. International Journal of Project Management 25(5), 506–516 (2007)
11. Forte, F.: Costs of noise and Italian urban policies. In: 36th International Congress and Exhibition on Noise Control Engineering, vol. 6, pp. 3991–3999. Istanbul, Turkey (2007)
12. Gallego, J.: La inteligencia artificial aplicada a la valoraciòn de inmuebles. Un ejemplo para valorar Madrid. Revista CT/Catastro 50, 51–67 (2004)
13. Giles, D.E.: Interpreting Dummy Variables in Semi-logarithmic Regression Models: Exact Distributional Results. Econometrics Working Paper EWP1101, University of Victoria, Canada (2011)
14. Giustolisi, O., Laucelli, D.: Increasing generalisation of input-output artificial neural networks in rainfall-runoff modelling. Hydrological Sciences Journal 3(50), 439–457 (2005)
15. Giustolisi, O., Savic, D.: A symbolic data-driven technique based on evolutionary polynomial regression. Journal of Hydroinformatics 8(3), 207–222 (2006)
16. Giustolisi, O., Savic, D.: Advances in data-driven analyses and modelling using EPRMOGA. Journal of Hydroinformatics 11(3–4), 225–236 (2009)
17. Guarini, M.R., Battisti, F.: Social Housing and Redevelopment of Building Complexes on Brownfield Sites: The Financial Sustainability of Residential Projects for Vulnerable Social Groups. Advanced Materials Research 869–870, 3–13 (2014)
18. Guarnaccia, C., Quartieri, J., Mastorakis, N.E., Tepedino, C.: Development and Application of a Time Series Predictive Model to Acoustical Noise Levels. WSEAS Transactions on Systems 13, 745–756 (2014)
19. Guarnaccia, C.: Advanced Tools for Traffic Noise Modelling and Prediction. WSEAS Transactions on Systems 12(2), 121–130 (2013)
20. Halvorsen, R., Palmquist, R.: The interpretation of dummy variables in semilogarithmic regressions. American Economic Review 70, 474–475 (1980)
21. Islam, K.S., Asam, Y.: Housing market segmentation: a review. Review of Urban & Regional Development Studies 21(2–3), 93–109 (2009)
22. Javadi, A.A., Rezania, M.: Applications of artificial intelligence and data mining techniques in soil modeling. Geomechanics and Engineering 1(1), 53–74 (2009)
23. Koza, J.R.: Genetic programming: on the programming of computers by natural selection. MIT Press, Cambridge (1992)
24. Król, D., Lasota, T., Trawiński, B., Trawiński, K.: Investigation of evolutionary optimization methods of TSK fuzzy model for real estate appraisal. International Journal of Hybrid Intelligent Systems 5(3), 111–128 (2008)
25. Laucelli, D., Giustolisi, O.: Scour depth modelling by a multi-objective evolutionary paradigm. Environmental Modelling & Software 26(4), 498–509 (2011)
26. Limsombunchai, V., Gan, C., Lee, M.: House price prediction: hedonic price model vs. artificial neural network. American Journal of Applied Sciences 1(3), 193–201 (2004)
27. Liu, J.-G., Zhang, X.-L., Wu, W.-P.: Application of fuzzy neural network for real estate prediction. In: Wang, J., Yi, Z., Żurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol. 3973, pp. 1187–1191. Springer, Heidelberg (2006)
28. McCluskey, W.J., Dyson, K., McFall, D., Anand, S.: The mass appraisal of residential property in Northern Ireland. In: Computer Assisted Mass Appraisal: An International review, pp. 59–77. Ashgate Publishing Limited, England (1997)
29. Morano, P., Tajani, F.: Bare ownership evaluation. Hedonic price model vs. artificial neural network. International Journal of Business Intelligence and Data Mining 8(4), 340–362 (2013)
30. Morano, P., Tajani, F.: Least median of squares regression and minimum volume ellipsoid estimator for outliers detection in housing appraisal. International Journal of Business Intelligence and Data Mining 9(2), 91–111 (2014)
31. Oppio, A., Corsi, S., Mattia, S., Tosini, A.: Exploring the relationship among local conflicts and territorial vulnerability: The case study of Lombardy Region. Land Use Policy 43, 239–247 (2015)
32. Scorza, F., Casas, G.L., Murgante, B.: Overcoming interoperability weaknesses in e-government processes: organizing and sharing knowledge in regional development programs using ontologies. In: Lytras, M.D., Ordonez de Pablos, P., Ziderman, A., Roulstone, A., Maurer, H., Imber, J.B. (eds.) WSKS 2010. CCIS, vol. 112, pp. 243–253. Springer, Heidelberg (2010)
33. Scorza, F., Casas, G.B., Murgante, B.: That’s ReDO: ontologies and regional development planning. In: Murgante, B., Gervasi, O., Misra, S., Nedjah, N., Rocha, A.M.A., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2012, Part II. LNCS, vol. 7334, pp. 640–652. Springer, Heidelberg (2012)
34. Selim, H.: Determinants of house prices in Turkey: hedonic regression versus artificial neural network. Expert Systems with Applications 36(2), 2843–2852 (2009)
35. Torre, C.M., Mariano, C.: Analysis of fuzzyness in spatial variation of real estate market: Some Italian case studies. Smart Innovation, System and Technologies 4, 269–277 (2010)
36. Wang, W.K.: A knowledge-based decision support system for measuring the performance of government real estate investment. Expert Systems with Applications 29(4), 901–912 (2005)
37. Wong, K.C., Albert, P.S., Hung, Y.C.: Neural network vs. hedonic price model: appraisal of high-density condominiums. Real Estate Valuation Theory 8(2), 181–198 (2002)