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vol. 2, nr. 1 (2003)
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Valuation of damage resistance of naked and covered grain of cereals by use of statistical methods and artifical neural network
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Andrzej Złobecki, Sławomir Francik
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Department of Machine Design, University of Agriculture, ul. Balicka 104, 30-149 Kraków |
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vol. 2 (2003), nr. 1,
pp. 281-287
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abstract:
In this paper the resistance of grain to damage was analysed. Grain of the oat and barley's was tested. The changes were estimated for covered and naked varieties using statistical methods and with use Artifical Neural Network. It was stated that values generated by ANN were not significantly different from measured ones. Constructed model is useful for evaluation of the resistance of grain to damage.
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keywords:
damage of grain, naked and covered cereals, Artifical Neural Network
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original in:
Polish
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