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ORIGINAL PAPER
The neuronal classifying techniques in problems of identification of agricultural engineering
Journal of Research and Applications in Agricultural Engineering 2005;50(3):15-19
KEYWORDS
ABSTRACT
The aim of the work was discussion of basic classifying techniques in context of their utilisation in investigative problems of agricultural engineering. The chosen topology of artificial neural networks were showed as effective classifying tools. Creation of the computer system "The neuronal nets - Perceptron " was the additional effect of the conducted analysis, helping the process of education. The aim of the created computer program is to classify the data obtained from the area of agricultural engineering. The program acts on the basis of many-layered network of perceptron type - MLP (MultiLayer Perceptron).
REFERENCES (4)
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Rutkowska D., Piliński M., Rutkowski L. (1997). Sieci neuronowe, algorytmy genetyczne i systemy rozmyte: Wydawnictwo Naukowe PWN, Warszawa-Łódź.
2.
Osowski S. (2000). Sieci neuronowe do przetwarzania informacji: Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa.
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Hertz J., Krogh A., Palmer R. G. (1993). Wstęp do teorii obliczeń neuronowych: WNT Warszawa.
4.
Boniecki P. (2004). Sieci neuronowe typu MLP oraz RGB jako komplementarne modele aproksymacyjne w procesie predykcji plonu pszenżyta: Journal of Research and Applications in Agricultural Engineering, Poznań, 1’2004, Vol. 49(1), str. 28-33.
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| eISSN: | 2719-423X |
| ISSN: | 1642-686X |
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