Combined Neural Network Model for Real Estate Market Range Value Estimation
Proceeding: The Fourth International Conference on Artificial Intelligence and Pattern Recognition (AIPR)Publication Date: 2017-09-18
Authors : V. Yakubovskyi; Georgi Petrov Dimitrov; Oleksiy Bychkov; Galina Panayotova;
Page : 11-16
Keywords : Neural Network Model; Structured Approach; Valuation; Comparative Approach; Real Estate; Multilayer Perceptron; Kohonen Network; Clustering; K-Means; Multiple Regression Analysis;
Abstract
This article describes the neural network model for solving problem of real estate market valuation. Results of this approach were compared to the ones ofexisting algorithms for this problem. Influence of the data parameters and structure of learning dataset on accuracy of algorithms for real estate market valuation is also analyzed in this article.
Other Latest Articles
- Mapping of Relational Schema to Ontology Model
- DEMENTIA: FROM SUSPICION TO TREATMENT
- ACTUAL PROBLEMS OF INSTITUTE OF PETITIONS AND COMPLAINTS AT THE INVESTIGATIVE STAGE OF A CRIMINAL CASE
- MORPHOLOGY OF COMPENSATORY AND ADAPTIVE REACTIONS IN THE PLACENTA OF MULTIPARA AT AN UNCOMPLICATED PREGNANCY IN REPUBLIC OF UZBEKISTAN
- Advantages of Using Computer in Teaching English Pronunciation
Last modified: 2017-10-02 23:39:34