Weather Forecasting Using Radial Basis Function Neural Network in Warangal, India

Weather forecasting is an essential task in any region of the world for proper planning of various sectors that are affected by climate change. In Warangal, most sectors, such as agriculture and electricity, are mainly influenced by climate conditions. In this study, weather (WX) in the Warangal region was forecast in terms of temperature and humidity. A radial basis function neural network was used in this study to forecast humidity and temperature. Humidity and temperature data were collected for the period of January 2021 to December 2021. Based on the simulation results, it is observed that the radial basis function neural network model performs better than other machine learning models when forecasting temperature and humidity

Artificial neural network · Climate change · Climatology · Function (biology · GCM transcription factors · General Circulation Model · Geography · Humidity · Meteorology · Computer Science · Energy Load and Power Forecasting · Environmental Science · Hydrological Forecasting Using AI · Neural Networks and Applications · Artificial Intelligence

• A tutorial on support vector regression

  Open Access•Alex J Smola, Alex Smola et al.•Statistics and Computing•2004

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