| contributor author | Milewski, Jaros‚aw | |
| contributor author | ڑwirski, Konrad | |
| date accessioned | 2017-05-09T01:08:59Z | |
| date available | 2017-05-09T01:08:59Z | |
| date issued | 2014 | |
| identifier issn | 2381-6872 | |
| identifier other | fc_011_02_021001.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/155110 | |
| description 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 backpropagation algorithm was used for an ANN training procedure. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Artificial Neural Network Based Model for Calculating the Flow Composition Influence of Solid Oxide Fuel Cell | |
| type | Journal Paper | |
| journal volume | 11 | |
| journal issue | 2 | |
| journal title | Journal of Fuel Cell Science and Technology | |
| identifier doi | 10.1115/1.4025922 | |
| journal fristpage | 21001 | |
| journal lastpage | 21001 | |
| identifier eissn | 2381-6910 | |
| tree | Journal of Fuel Cell Science and Technology:;2014:;volume( 011 ):;issue: 002 | |
| contenttype | Fulltext | |
