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The use of artificial neural networks for forecasting the monthly mean soil temperatures in Adana, Turkey
Artificial neural network meteorological
2011/6/29
The objective of this paper was to develop an artificial neural network (ANN) model in order to predict monthly mean soil temperature for the present month by using various previous monthly mean meteo...
Artificial neural network based chaotic generator for cryptology
Artificial neural network chaos cryptology
2010/3/17
Chaotic systems are sensitive to initial conditions, system parameters and topological transitivity and these properties are also remarkable for cryptanalysts. Noise like behavior of chaotic systems i...
Modelling of Osmotic Dehydration of Mango (Mangifera Indica) by Recurrent Artificial Neural Network and Experimental Design
Osmotic dehydration recurrent artificial neural network mango water loss full factorial
2010/11/15
Osmotic dehydration process was investigated in this paper. Mango slices samples were
osmotically dehydrated in different hypertonic solutions of glucose and sucrose at three different temperatures (...
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
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
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
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
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...