Forecasting Second-hand Housing Price using Artificial Intelligence and Machine Learning Techniques

DOI

10.2991/mcei-18.2018.54How to use a DOI?

Keywords

Artificial Intelligence; Support Vector Machine; Neural Network

Abstract

In this era of information explosion, the development of science and technology changes with each passing day. Therefore, the automatic analysis of scientific and technological trends aims to help scientists extract useful information from a large number of academic conferences and scientific and technological documents, which is of great practical significance. Artificial Intelligence give us an useful techniques, this paper we use using artificial intelligence and machine learning techniques to fit and forecast house price, From the point of view of model, the prediction effect of support vector machine is the best, with strong stability, while neural network is the worst. As a contrast, linear regression and random forest have little difference between them.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tao Fu
PY  - 2018/06
DA  - 2018/06
TI  - Forecasting Second-hand Housing Price using Artificial Intelligence and Machine Learning Techniques
BT  - Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)
PB  - Atlantis Press
SP  - 269
EP  - 273
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-18.2018.54
DO  - 10.2991/mcei-18.2018.54
ID  - Fu2018/06
ER  -