Open AccessPredicting the Land Value using Regression Techniques and Artificial Neural Network
Author(s) -
P. Velumani,
N. V. N. Nampoothiri,
P Kavithra
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1021.1291s419
Subject(s) - artificial neural network , tamil , regression analysis , value (mathematics) , work (physics) , agriculture , land use , computer science , agricultural land , regression , econometrics , statistics , geography , machine learning , mathematics , engineering , civil engineering , mechanical engineering , philosophy , linguistics , archaeology
Land value can be an important factor which influences the cost of construction on working in the project. The land has socio-economic and environmental values and the confronted problems on land involves the increasing costs for developing the land such as built up, agricultural, residential, commercial and industrial areas. Hence this paper concentrates on prediction of land value by considering some important factors that affects it. The study area has been selected under Tirupur district, being a developing one in Tamil Nadu. The eleven areas in four different taluks under Tirupur district were chosen for research work. The average values of monthly variation are taken for the chosen factor for the years from 2001 to 2017. Using regression analysis and artificial neural network, the prediction has been done for the future land value. The performance of both the model executed good and fit for forecasting results. Though both the model showed better results, Artificial Neural Network (ANN) showed accuracy than regression method.