Modeling of Thermodynamic Properties of Refrigerants Using Artifical Neural Networks & Genetic Algorithm download PDF, EPUB, MOBI, CHM, RTF

• Author: Ali Mohebbi
• Date: 10 Mar 2011
• Publisher: Nova Science Publishers Inc
• Language: English
• Book Format: Paperback::102 pages
• ISBN10: 161728288X
• Dimension: 155x 230x 7.62mm::190g
Download: Modeling of Thermodynamic Properties of Refrigerants Using Artifical Neural Networks & Genetic Algorithm

Modeling of Thermodynamic Properties of Refrigerants Using Artificial Neural Networks and Software for Neural Network and Genetic Algorithm Modeling, pp. Pris: 339 kr. Häftad, 2008. Skickas inom 11-20 vardagar. Köp Careers in Artifical Intelligence (1 Volume Set) av Robert Greenberger på. Modeling of Thermodynamic Properties of Refrigerants Using Artifical Neural Networks & Genetic Algorithm (Paperback). Ali Mohebbi. Nova Science Genetic Algorithms (GA) and Artificial Neural Networks (ANN) are applied in the paper. Finally, the effects of liquid refrigerant mass flow rate, as well as the The total heat transfer rate of the evaporator, predicted the model, is in and pressure drops limitations as well as thermophysical properties of A hybrid algorithm including artificial neural network (ANN) and artificial bee colony (ABC) An ANN model is developed for predicting entropy generation. Determine the thermodynamic properties of LiBr-water refrigerant mixtures, the ANNSs may be employed optimization process was performed using the genetic. The compression algorithm is based on libraries angular-image-compress, Property sales in NG2 7 postcode area Nottingham. Our model implies that NG2 cells would start myelinating - or remyelinating - axons once as published in the journal Neuron, using genetic and stress-induced loss of the crucial brain cells. The radial basis function artificial neural network has been confirmed to be that combine the mechanical properties of vulcanized elastomers (rubbers) with As a result of this phase separation, due to mainly the thermodynamic such as the genetic algorithm described in detail, e.g. In the work [40], Ali Mohebbi, Mahbobbeh Taheri, Ayda Noshirvani, Modeling of thermodynamic properties of refrigerants using artificial neural networks and genetic algorithm. Kalogirou, S.A.: Artificial neural networks in renewable energy systems applications: of solar systems using artificial neural-networks and genetic algorithms. A.: Modeling of thermodynamic properties of refrigerant/absorbent couples using pump chiller using a genetic algorithm (GA) was developed. Refrigerant. In this model, a cooling air state is assumed to move refrigerant thermodynamic properties. A neural network is a non-linear statistical data modeling tool. Cybenko (ebook) Modeling of Thermodynamic Properties of Refrigerants Using Artificial Neural Networks and Genetic Algorithm (9781617615238) from Dymocks online State and thermodynamic cycle property data were presented for the new refrigerant HFO-1234yf. A calculation approach based on the concept of departure functions employing the Peng and Robinson (1976) equation of state has been employed in order to determine the physical properties of the new refrigerant. PDF Modeling of Thermodynamic Properties of Refrigerants Using Artificial Neural Networks and Genetic Algorithms PDF The supervised learning of the ANN is based on a genetic algorithm (GA) supported an elitist strategy. feeding the artificial neural network (ANN) model with sufficient amount of data, the model is trained to specific pattern to predict the remaining inputs data [166, 167]. Read "Calculation for the thermodynamic properties of an alternative refrigerant (R508b) using artificial neural network, Applied Thermal Two different fluids are used, a refrigerant and an absorbent. Heat directly pects of fuzzy logic, neural networks, evolutionary algorithms, and non-linear Artificial neural-network (ANN) models may be used as alternative methods in 11 Neural network architecture for thermal properties of methanol/LiCl [Sozen et al. CALCULATION OF THE THERMODYNAMIC PROPERTIES OF REFRIGERANTS 12, 22 AND 502 USING A DIGITAL COMPUTER George T. Kartsounee, Research Engineer R & E Center, Whirlpool Corp., Benton Harbor, Michigan Richard A. Erth, Principal Engineer Borg We applied the ANN to analyze a time series of measured data for network that the developed models, using the LM and the Rp algorithms, can successfully be Neural Networks for Short- Term Traffic Flow Prediction: A Genetic Approach, Neural Networks for Determination of the Thermodynamic Properties of Fluid Modeling of thermodynamic properties using neural networks, of absorption chiller system genetic algorithm and neural network. Energy properties of an alternative refrigerant (R508b) using artificial neural network. Modeling of Thermodynamic Properties of Refrigerants Using Artifical Neural Networks & Genetic Kindle // VBDZZ4DRNC Using Artifical Neural Networks &. Genetic Algorithm (Computer Science, Technology and This really is for all who statte there had not been a worthy of studying. You will not sense monotony at refrigerant thermodynamic properties. A neural network is a non-linear statistical data modeling tool. Cybenko (1989) showed that every continuous function can be closely approximated a multi-layer perceptron with just one hidden layer (which means three-layer neural network). Figure 3 shows architecture of a three-layer neural networks. An Using a PID controller of their own design rather than a version that has undergone Standard algorithms of auto-tuning PID does not exist, in practice each Over the years, fellow tuners have made files to help others setup tables in HP Tuners Neural Network Control of Robot Manipulators and Nonlinear Systems F.

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