In:
Journal of Applied Research and Technology, Universidad Nacional Autonoma de Mexico, , No. 2 ( 2023-04-27), p. 205-211
Abstract:
Currently, weather forecasting is the most commonly discussed topic by social and economic activists. It is also attracting widespread interest due to its application in various public and private sectors that include marine, agriculture, air traffic, and forestry. Recent developments have made climatic changes happen at a dramatic rate, making old methods of weather forecasting less effective, more hectic, and unreliable. Improved and efficient methods of weather prediction are needed to overcome these difficulties. This paper describes machine learning approaches using artificial neural networks to predict the weather of a particular city and compare the different weather conditions in different cities. We demonstrate empirically that Artificial Neural Networks produce very low deviations hence providing nearly accurate results for weather forecasts on a daily basis.
Type of Medium:
Online Resource
ISSN:
2448-6736
,
1665-6423
DOI:
10.22201/icat.24486736e.2023.21.2.1698
Language:
Unknown
Publisher:
Universidad Nacional Autonoma de Mexico
Publication Date:
2023
detail.hit.zdb_id:
2235952-7
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