Artificial Neural Network-Based Model for Calculating the Flow Composition Influence of Solid Oxide Fuel Cell-Reference-Cited by-同舟云学术

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

Published:2013-12-04 Issue:2 Volume:11 Page:
ISSN:1550-624X
Container-title:Journal of Fuel Cell Science and Technology
language:en
Short-container-title:

Author:

Milewski Jarosław¹,Świrski Konrad²

Affiliation:

1. Associate Professor e-mail:

2. Associate Professor e-mail: Institute of Heat Engineering, Faculty of Power and Aeronautical Engineering, Warsaw University of Technology, Warsaw 00-665, Poland

Abstract

The paper presents use of an artificial neural network (ANN) for predicting the thermal-flow behavior of a solid oxide fuel cell with no algorithmic solution merely by utilizing available experimental data. The error backpropagation algorithm was used for an ANN training procedure.

Publisher

ASME International

Subject

Mechanical Engineering,Mechanics of Materials,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electronic, Optical and Magnetic Materials

Link

http://asmedigitalcollection.asme.org/electrochemical/article-pdf/doi/10.1115/1.4025922/6130676/fc_011_02_021001.pdf

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