House Price Prediction and Feature Analysis Based on Multilayer Perceptron (MLP)
Mingwei Xu
2024
Abstract
Within the ever-changing real estate sector, accurately forecasting housing prices is crucial for different entities. This study aims to enhance forecasting models for housing costs by utilizing the benefits of Multilayer Perceptron (MLP). This research aims to improve the precision of real estate price forecasts by utilizing the sophisticated data processing capabilities of MLPs to assess the significance of different attributes. The chosen approach focuses on crafting an MLP model, intricately structured with various layers and activation mechanisms, to decode intricate connections in assorted housing market data. Findings indicate a notable enhancement in forecasting precision, as the MLP model surpassed traditional regression models, attaining more than 90% accuracy. Such results are crucial for the real estate industry, empowering key players such as purchasers, vendors, and evaluators to make better-informed choices. Implementing MLP effectively in this scenario improves understanding of the market and highlights the expertise of neural networks in predictive analytics in diverse fields.
DownloadPaper Citation
in Harvard Style
Xu M. (2024). House Price Prediction and Feature Analysis Based on Multilayer Perceptron (MLP). In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 305-312. DOI: 10.5220/0012832700004547
in Bibtex Style
@conference{icdse24,
author={Mingwei Xu},
title={House Price Prediction and Feature Analysis Based on Multilayer Perceptron (MLP)},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={305-312},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012832700004547},
isbn={978-989-758-690-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - House Price Prediction and Feature Analysis Based on Multilayer Perceptron (MLP)
SN - 978-989-758-690-3
AU - Xu M.
PY - 2024
SP - 305
EP - 312
DO - 10.5220/0012832700004547
PB - SciTePress