Modelling (using artificial neural-networks) the performance parameters of a solar-driven ejector-absorption cycle
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[1] Rodney L. McClain,et al. Neural network analysis of fin-tube refrigerating heat exchanger with limited experimental data , 2001 .
[2] Adnan Sözen,et al. Performance prediction of a solar driven ejector-absorption cycle using fuzzy logic , 2004 .
[3] Soteris A. Kalogirou,et al. Artificial neural networks for the prediction of the energy consumption of a passive solar building , 2000 .
[4] Ashish Dwivedi,et al. Potential applications of artificial neural networks to thermodynamics: vapor–liquid equilibrium predictions , 1999 .
[5] L. Puigjaner,et al. Use of neural networks and expert systems to control a gas/solid sorption chilling machine , 1999 .
[6] Soteris A. Kalogirou,et al. Applications of artificial neural networks in energy systems , 1999 .
[7] Mohamed Mohandes,et al. Estimation of global solar radiation using artificial neural networks , 1998 .
[8] E. Arcaklioğlu,et al. Use of artificial neural networks for mapping of solar potential in Turkey , 2004 .
[9] Adnan Sözen,et al. Performance improvement of absorption refrigeration system using triple-pressure-level , 2003 .
[10] S. Biswas,et al. Liquid—vapour coexistence curve of methyl fluoride in the critical region , 1989 .
[11] Soteris A. Kalogirou,et al. Artificial neural networks for modelling the starting-up of a solar steam-generator , 1998 .
[12] M. Ranjan,et al. Solar resource estimation using artificial neural networks and comparison with other correlation models , 2003 .
[13] Vojislav Kecman,et al. New approach to dynamic modelling of vapour-compression liquid chillers: artificial neural networks , 2001 .
[14] Adnan Sözen,et al. Effect of heat exchangers on performance of absorption refrigeration systems , 2001 .
[15] Soteris A. Kalogirou,et al. Applications of artificial neural-networks for energy systems , 2000 .
[16] Soteris A. Kalogirou,et al. MODELING OF SOLAR DOMESTIC WATER HEATING SYSTEMS USING ARTIFICIAL NEURAL NETWORKS , 1999 .
[17] Avi Levy,et al. Numerical study on the design parameters of a jet ejector for absorption systems , 2002 .
[18] Ch. Trepp,et al. Equation of state for ammonia-water mixtures , 1984 .
[19] Soteris A. Kalogirou,et al. Artificial neural networks used for the performance prediction of a thermosiphon solar water heater , 1999 .
[20] Adnan Sözen,et al. Development and testing of a prototype of absorption heat pump system operated by solar energy , 2002 .
[21] Adnan Sözen,et al. A new approach to thermodynamic analysis of ejector–absorption cycle: artificial neural networks , 2003 .
[22] Zhang Lin,et al. Global optimization of absorption chiller system by genetic algorithm and neural network , 2002 .
[23] Ch. Trepp,et al. Simulation of a solar driven aqua-ammonia absorption refrigeration system Part 1: mathematical description and system optimization , 1987 .
[24] E. Mizutani,et al. Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.
[25] Soteris A. Kalogirou,et al. Optimization of solar systems using artificial neural-networks and genetic algorithms , 2004 .
[26] D. Richon,et al. Modeling of thermodynamic properties using neural networks: Application to refrigerants , 2002 .