Downloads: 117
Research Paper | Civil Engineering | India | Volume 6 Issue 6, June 2017
Model for Rate Prediction of Commercial Properties in PMC
Sneha Mokalkar | P. R. Minde
Abstract: Considering the extent of money involved in real estate, there is a need of accurate prediction of value of a property which can be achieved through application of some artificial intelligence technique. This study mainly focuses on case study of Pune city in India and tries to predict value of commercial properties in the study area. The prime aim of the present investigation is to study the ascertaining value of property using neural networks. The results show 99 % correlation coefficient for selected combination of cases with a high percentage rate of prediction. This study would help the prospective buyer to make the best buying decision so as to gain maximum returns in future.
Keywords: Artificial Intelligence, Commercial property, Factors, Neural Networks, Valuation
Edition: Volume 6 Issue 6, June 2017,
Pages: 2020 - 2024
Similar Articles with Keyword 'Factors'
Downloads: 0
Research Paper, Civil Engineering, Egypt, Volume 11 Issue 12, December 2022
Pages: 848 - 853Hybrid Model for Predicting the Productivity of Concrete Batching Plants
Rana Roshdi Ibrahim | Aly Sherif Abdel Fayad | Mohamed Badawy
Downloads: 1
Masters Thesis, Civil Engineering, Indonesia, Volume 10 Issue 9, September 2021
Pages: 907 - 917Construction Value Engineering Construction of Serang - Panimbang Toll Road Section 3, Cileles - Panimbang Sta.50+677 - Sta.83+677 Banten Province
Okto Ferry Silitonga | Dr. Ir. Dwi Dina Riana [2] | Dr. Ir. Hari Nugraha Nurjaman [4]