Investigation of bagging ensembles of genetic neural networks and fuzzy systems for real estate appraisal
Olgierd Kempa , Tadeusz Lasota , Zbigniew Telec , Bogdan Trawiński
AbstractArtificial neural networks are often used to generate real appraisal models utilized in automated valuation systems. Neural networks are widely recognized as weak learners therefore are often used to create ensemble models which provide better prediction accuracy. In the paper the investigation of bagging ensembles combining genetic neural networks as well as genetic fuzzy systems is presented. The study was conducted with a newly developed system in Matlab to generate and test hybrid and multiple models of computational intelligence using different resampling methods. The results of experiments showed that genetic neural network and fuzzy systems ensembles outperformed a pairwise comparison method used by the experts to estimate the values of residential premises over majority of datasets.
|Journal series||Lecture Notes In Computer Science, ISSN 0302-9743, [1611-3349], (A 13 pkt)|
|Publication size in sheets||0.5|
|Conference||3rd International Conference on Intelligent Information and Database Systems (ACIIDS 2011), 20-04-2011 - 22-04-2011, Daegu, Korea Południowa|
|Keywords in English||Bagging; Ensemble models; Genetic neural networks; Out-of-bag; Property valuation|
|Publication indicators||= 26; = 17|
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