What question did this study set out to answer?

To forecast temperature and atmospheric pressure using multilayer artificial neural networks.

March 14, 2026Turkish Journal of ForecastingOpen Access

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

View Full Paper

Ask AI

Bookmark

Authors

EKEmine KölemenAvrasya University ÖKÖzlem KarahasanAvrasya University

Discussion

Member takes

Implication

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/69b4ad9a18185d8a398012f3 https://doi.org/10.34110/forecasting.1811454

View Full Paper

Ask AI

Bookmark

Implication

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

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

Discussion

Member takes

Implication

Key Points

Cite This Study

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

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider