MULTI-LAYER ARTIFICIAL NEURAL NETWORK FOR ESTIMATING REAL-ESTATE PRICES

Abstract

The estimation of land costs, are a helpful and sensible methodology for purchasers and for neighborhood and monetary specialists. It is of most extreme significance to assess the present status of the market and anticipate its presentation over the present moment so as to settle on suitable money related choices. We will utilize two propelled displaying approaches Multi-Level Models and Artificial Neural Networks to demonstrate house costs. This methodology is contrasted and the standard Hedonic Price Model as far as exactness in expectation, gathering the area data and their logical (understanding) power. This undertaking presents the advancement of a multi-layer fake neural system based models to help land financial specialists and home designers in this basic assignment. (Abstract)