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March 14, 2026Turkish Journal of ForecastingOpen Access

Forecasting of Giresun Temperature and Pressure Data with Multilayer Artificial Neural Network

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Authors

EKEmine KölemenÖKÖzlem Karahasan

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Overview

Research demonstrates improved temperature forecasting in Giresun with artificial neural networks, indicating better predictions of weather variables.

Key Points

  • To forecast temperature and atmospheric pressure using multilayer artificial neural networks.
  • Utilized multilayer perceptions artificial neural network for prediction
  • Analyzed atmospheric pressure and temperature data from Giresun, Turkey
  • Compared performance with neural network-based approaches reported in literature
  • Identified seasonal trends in temperature data
  • Demonstrated improved forecasting accuracy compared to traditional methods
  • Showed capability to model nonlinear relationships in weather data

Cite This Study

Kölemen et al. (2026) studied this question.

synapsesocial.com/papers/69b4ad9a18185d8a398012f3https://doi.org/10.34110/forecasting.1811454
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