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Toplam kayıt 19, listelenen: 1-10
Determination of residual stresses based on heat treatment conditions and densities on a hybrid (FLN2-4405) powder metallurgy steel using artificial neural network
(Elsevier Sci Ltd, 2007)
This paper presents a new approach based on artificial neural networks (ANNs) to determine the residual stresses in PM steel based nickel (FLN2-4405). This study consists of two cases: (i) The experimental analysis: The ...
Modelling of yield length in the mould of commercial plastics using artificial neural networks
(Elsevier Sci Ltd, 2007)
According to the yield length of a plastic, whether a mould is filled fully or not can be estimated. In this study, a new formula based on various injection parameters was developed to determine the yield length in plastic ...
MODELING AND ANALYZING CUSTOMER DATA IN CUSTOMER RELATIONSHIP MANAGEMENT WITH ARTIFICIAL NEURAL NETWORKS
(Gazi Univ, Fac Engineering Architecture, 2008)
Customers must keep customer satisfaction as a top priority in order to keep up with increasing competition. In order to achieve, they need to be able to analyze their customers properly and pay attention to their individual ...
A new approach to thermodynamic analysis of ejector-absorption cycle: artificial neural networks
(Pergamon-Elsevier Science Ltd, 2003)
Thermodynamic analysis of absorption thermal systems is too complex because of analytic functions calculating the thermodynamic properties of fluid couples involving the solution of complex differential equations. To ...
A study for estimating solar resources in Turkey using artificial neural networks
(Taylor & Francis Inc, 2004)
Turkey has sufficient solar radiation and radiation period for solar thermal applications since it lies in a sunny belt between 36degrees and 42degreesN latitudes. The yearly average solar radiation is 3.6 kWh/m(2) day, ...
Investigation of thermodynamic properties of refrigerant/absorbent couples using artificial neural networks
(Elsevier Science Sa, 2004)
This paper presents a new approach to determine the properties of liquid and two phase boiling and condensing of two alternative refrigerant/absorbent couples (methanol-LiBr and methanol-LiCl), which do not cause ozone ...
Estimation of solar potential in Turkey by artificial neural networks using meteorological and geographical data
(Pergamon-Elsevier Science Ltd, 2004)
Turkey is located at the Mediterranean at 36degrees and 42degrees N latitudes and has a typical Mediterranean climate. The solar energy potential is very high in Turkey. The yearly average solar radiation is 3.6 kW h/m(2) ...
Formulation based on artificial neural network of thermodynamic properties of ozone friendly refrigerant/absorbent couples
(Pergamon-Elsevier Science Ltd, 2005)
This paper presents a new approach based on artificial neural networks (ANNs) to determine the properties of liquid and two phase boiling and condensing of two alternative refrigerant/absorbent couples (methanol/LiBr and ...
Estimation of Net Energy Consumption in Turkey Using Different Indicators
(Taylor & Francis Inc, 2009)
The main subject in this study is to obtain equations to predict net energy consumption of Turkey using energy sources and economic indicators by artificial neural network approach in order to determine the future level ...
Forecasting based on neural network approach of solar potential in Turkey
(Pergamon-Elsevier Science Ltd, 2005)
As Turkey lies near the sunny belt between 36 and 42 degrees N latitudes, most of the locations in Turkey receive abundant solar energy. Average annual temperature is 18-20 degrees C on the south coast, falls down to 14-16 ...