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Model development of the external friction of granular vegetable materials on the basis of artificial neural networks
external friction granular vegetable materials feed-forward artificial neural network
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2008/11/26
The aim of the research conducted was the creation of a model of the phenomenon of the external friction of vegetable materials using a feed-forward artificial neural network (ANN). The network was ta...
Modeling of thin-layer drying kinetics of sesame seeds: mathematical and neural networks modeling
sesame seed natural drying neural network mathematical modelling
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2008/11/26
Natural drying characteristics of sesame seeds (SS) were investigated under indoor conditions with both forced convection (FC) and natural convection (NC) of air. The drying kinetics of SS was charact...
Defining the damaging process of cereal grains on the basis of artificial neural network
grain damage multiple dynamic loads artificial neural network
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2008/11/26
The objective of the research consisted in the development of a model allowing to forecast the damage attributable to wheat grains under the impact of multiple dynamic loads. Laboratory research which...
Artificial neural network as an alternative to multiple regression analysis for estimating the parameters of econometric models
artificial neural network econometric models grain yield
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2010/1/13
In recent years, neural networks have been used for a wide variety of applications where statistical methods are traditionally employed. Neural nets offer the opportunity to create a model by using te...
PREDICTION OF BULLS’ SLAUGHTER VALUE FROM GROWTH DATA USING ARTIFICIAL NEURAL NETWORK
bulls beef performance neural networks
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2010/11/30
The objective of this research was to investigate the usefulness of artificial neural network (ANN) in the prediction of slaughter value of young crossbred bulls based on growth data. The studies were...