Abstract
Information and Communication Technologies are used for predicting the weather by Meterological Department using remote sensing technologies. Literature studies have shown that different machine learning techniques including ANN have been applied for predicting weather parameters like temperature, humidity, rainfall, pressure, sunshine, radiation forecasting for better prediction. But in none of the work, there has been attempt in predicting the different weather conditions for a day based on different weather parameters and not restricting to just few. Also, there has been no attempt in employingd deep learning algorithm in predicting the different weather parameters for a day. So now with the upcoming of Deep learning which is state of the art, we here propose to predict weather conditions and compare with traditional machine learning models.
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Mandal, M., Zakir, A.Q., Sankaranarayanan, S. (2021). Weather Prediction Based on Seasonal Parameters Using Machine Learning. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2020). Lecture Notes in Networks and Systems, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-16-0882-7_15
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DOI: https://doi.org/10.1007/978-981-16-0882-7_15
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