Tomiło, P.; Oleszczuk, P.; Laskowska, A.; Wilczewska, W.; Gnapowski, E.
Effect of Architecture and Inference Parameters of Artificial Neural Network Models in the Detection Task on Energy Demand. Energies 2024, 17, 5417.
https://doi.org/10.3390/en17215417
AMA Style
Tomiło P, Oleszczuk P, Laskowska A, Wilczewska W, Gnapowski E.
Effect of Architecture and Inference Parameters of Artificial Neural Network Models in the Detection Task on Energy Demand. Energies. 2024; 17(21):5417.
https://doi.org/10.3390/en17215417
Chicago/Turabian Style
Tomiło, Paweł, Piotr Oleszczuk, Agnieszka Laskowska, Weronika Wilczewska, and Ernest Gnapowski.
2024. "Effect of Architecture and Inference Parameters of Artificial Neural Network Models in the Detection Task on Energy Demand" Energies 17, no. 21: 5417.
https://doi.org/10.3390/en17215417
APA Style
Tomiło, P., Oleszczuk, P., Laskowska, A., Wilczewska, W., & Gnapowski, E.
(2024). Effect of Architecture and Inference Parameters of Artificial Neural Network Models in the Detection Task on Energy Demand. Energies, 17(21), 5417.
https://doi.org/10.3390/en17215417