Application of Machine Learning Method in Jinan Temperature Prediction

Mingzhao Liu, Zhongmu Li

2022

Abstract

Machine learning algorithms based on big data have been widely used in many fields, such as healthcare, education, manufacturing, and finance. It can extract features from existing data, learn the changing laws of existing data, and then judge and predict new data. It is practical to apply machine learning to temperature prediction. This paper uses a machine learning algorithm and Jinan temperature data to build a prediction model, and compares the predicted with the actual value. The prediction accuracy of the model is 90.1%. The results show that the model can predict the daily maximum temperature in Jinan, and the machine learning method has good applicability in the field of temperature prediction.

Paper Citation

in Harvard Style

Liu M. and Li Z. (2022). Application of Machine Learning Method in Jinan Temperature Prediction. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 252-255. DOI: 10.5220/0011920100003612

in Bibtex Style

@conference{isaic22,
author={Mingzhao Liu and Zhongmu Li},
title={Application of Machine Learning Method in Jinan Temperature Prediction},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={252-255},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011920100003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Application of Machine Learning Method in Jinan Temperature Prediction
SN - 978-989-758-622-4
AU - Liu M.
AU - Li Z.
PY - 2022
SP - 252
EP - 255
DO - 10.5220/0011920100003612
PB - SciTePress