This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.
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Abstract
In this short communication, a concept has been presented to model geographical data to predict future temperature of Tabuk, region. Machine learning has been applied to the weather station data to develop a prediction model. The preliminary results are promising and encouraging and are envisaging to further this research towards the determination of unknown temperature rise in the region. This is important to mention here, that the problem has been formulated as a Regression problem, NOT as a classification problem. Hence, applying Convolutional neural networks is not possible, due to the non-existence of classes or converting the temperature values to classes does not make any sense. Hence, this is defined as a regression problem which achieved encouraging desirable results.
DOI
https://doi.org/10.31223/X5D69M
Subjects
Life Sciences, Physical Sciences and Mathematics
Keywords
machine learning, Geographical data, Temperature prediction, temperature
Dates
Published: 2024-06-28 14:51
Last Updated: 2024-06-28 21:51
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