The methods of predicting the issues of agricultural engineering with the use of artificial neural networks

The aim of the following thesis was the description of chosen methods of the prediction and the comparison of their efficiency in the field of agricultural engineering with the use of artificial neural networks. There were also pointed the typolgies of networks which turned out to be the most effective in the process of solving the prediction problems.

REFERENCES (9)

Błaszczyk M., Dejewska T.: Sieci neuronowe jako narzędzie predykcyjne w procesie prognozowania cen ziemniaków. Praca magisterska. Uniwersytet Przyrodniczy w Poznaniu, Poznań 2008.

Google Scholar

Boniecki P.: Elementy modelowania neuronowego w rolnictwie. WUP Poznań 2008.

Google Scholar

Duch W., Korbicz J., Rutkowski L., Tadeusiewicz R.: Sieci neuronowe. Akademicka Oficyna Wydawnicza Exit, Warszawa 2000.

Google Scholar

Francik S.: Prognozowanie ceny ogórka szklarniowego za pomocą sieci neuronowych. Inżynieria Rolnicza 2005, nr 14 (74). s. 91-97.

Google Scholar

Koszela K., Boniecki P., Weres J.: Ocena efektywności neuronowego prognozowania w oparciu o wybrane metody na przykładzie dystrybucji produktów rolniczych. Poznań 2005.

Google Scholar

Niedbała G.: Prognozowanie plonu roślin z wykorzystaniem sztucznych sieci neuronowych na przykładzie buraka cukrowego. Akademia Rolnicza im. Augusta Cieszkowskiego w Poznaniu, Poznań 2006.

Google Scholar

Niedbała G., Przybył J., Boniecki P., Sęk T.: Analiza założeń dla modelowania plonu buraka cukrowego z wykorzystaniem sztucznych sieci neuronowych. Inżynieria Rolnicza 2005, nr 2 (62). s. 123-130.

Google Scholar

Osowski S.: Sieci neuronowe. Warszawa 1996.

Google Scholar

Tadeusiewicz R.: Sieci Neuronowe. Akademicka Oficyna Wydawnicza RM, Warszawa 1993.

Google Scholar

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