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    Artificial Neural Network Based Model for Calculating the Flow Composition Influence of Solid Oxide Fuel Cell 

    Source: Journal of Fuel Cell Science and Technology:;2014:;volume( 011 ):;issue: 002:;page 21001
    Author(s): Milewski, Jaros‚aw; ڑwirski, Konrad
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The paper presents use of an artificial neural network (ANN) for predicting the thermalflow behavior of a solid oxide fuel cell with no algorithmic solution merely by utilizing available experimental data. The error ...
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    Triple Layer Control System for Molten Carbonate Fuel Cell–Gas Turbine Hybrid System 

    Source: Journal of Fuel Cell Science and Technology:;2015:;volume( 012 ):;issue: 004:;page 41005
    Author(s): Milewski, Jaros‚aw; Biczel, Piotr; K‚os, Mariusz
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The control system of molten carbonate fuel cell (MCFC) coupled with a gas turbine (GT) should be based on the multilayer structure (twoor threelayers), wherein the third layer is connected with the power output from the ...
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