| contributor author | Yasemin Vural | |
| contributor author | Diyar Akay | |
| contributor author | Mohamed Pourkashanian | |
| contributor author | Derek B. Ingham | |
| date accessioned | 2017-05-09T00:38:32Z | |
| date available | 2017-05-09T00:38:32Z | |
| date copyright | June, 2010 | |
| date issued | 2010 | |
| identifier issn | 2381-6872 | |
| identifier other | JFCSAU-28942#034501_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/143647 | |
| description abstract | The modeling of an intermediate temperature solid oxide fuel cell using an adaptive neuro-fuzzy inference system (ANFIS) has been presented. The results show that a well trained and well tested ANFIS model has the capability to predict the fuel cell performance under varying operational conditions depending on the availability of the data and can be used as an alternative to the physical models in the sense that the results can be produced in a fast and cost effective way. The performance of the model in regions where there is data deficiency has been discussed. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Modeling of an Intermediate Temperature Solid Oxide Fuel Cell Using the Adaptive Neuro-Fuzzy Inference System (ANFIS) | |
| type | Journal Paper | |
| journal volume | 7 | |
| journal issue | 3 | |
| journal title | Journal of Fuel Cell Science and Technology | |
| identifier doi | 10.1115/1.3207873 | |
| journal fristpage | 34501 | |
| identifier eissn | 2381-6910 | |
| keywords | Temperature | |
| keywords | Fuel cells | |
| keywords | Modeling | |
| keywords | Solid oxide fuel cells | |
| keywords | Electric potential AND Flow (Dynamics) | |
| tree | Journal of Fuel Cell Science and Technology:;2010:;volume( 007 ):;issue: 003 | |
| contenttype | Fulltext | |
