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Toplam kayıt 13, 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 ...
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 ...
Forecasting net energy consumption using artificial neural network
(Taylor & Francis Inc, 2006)
The main goal of this study is to develop the equations for forecasting net energy consumption (NEC) using the artificial neural network (ANN) technique in order to determine the future level of the energy consumption in ...
Comparative study of mathematical and experimental analysis of spark ignition engine performance used ethanol-gasoline blend fuel
(Pergamon-Elsevier Science Ltd, 2007)
This study consists of two cases: (i) The experimental analysis: Ethanol obtained from biomass can be used as a fuel in spark ignition engines. As renewable energy source ethanol, due to the high octane number, low emissions ...
Exergy analysis of an ejector-absorption heat transformer using artificial neural network approach
(Pergamon-Elsevier Science Ltd, 2007)
This paper proposes artificial neural networks (ANNs) technique as a new approach to determine the exergy losses of an ejector-absorption heat transformer (EAHT). Thermodynamic analysis of the EAHT is too complex due to ...
Solar potential in Turkey
(Elsevier Sci Ltd, 2005)
Most of the locations in Turkey receive abundant solar-energy, because Turkey lies in a sunny belt between 36degrees and 42 degreesN latitudes. Average annual temperature is 18 to 20 degreesC on the south coast, falls to ...