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Toplam kayıt 19, listelenen: 11-19
Sustainable personnel scheduling supported by an artificial neural network model in a natural gas combined cycle power plant
(WILEY, 2020)
Despite the impact of personnel scheduling on the sustainability of production processes, it is a rarely studied problem in the electricity generation sector, whose main purpose is sustainable energy generation. From this ...
Performance analysis of ejector absorption heat pump using ozone safe fluid couple through artificial neural networks
(Pergamon-Elsevier Science Ltd, 2004)
Thermodynamic analysis of absorption thermal systems is too complex because the analytic functions calculating the thermodynamic properties of fluid couples involve the solution of complex differential equations and ...
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) ...
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 ...
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, ...
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 ...
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 ...
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 ...