Modeling of an Intermediate Temperature Solid Oxide Fuel Cell Using the Adaptive Neuro-Fuzzy Inference System (ANFIS)

Vural Y., AKAY D., Pourkashanian M., Ingham D. B.

JOURNAL OF FUEL CELL SCIENCE AND TECHNOLOGY, cilt.7, sa.3, 2010 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7 Sayı: 3
  • Basım Tarihi: 2010
  • Doi Numarası: 10.1115/1.3207873
  • Dergi Adı: JOURNAL OF FUEL CELL SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
  • Anahtar Kelimeler: fuzzy reasoning, solid oxide fuel cells, PERFORMANCE, NETWORKS
  • Hacettepe Üniversitesi Adresli: Hayır

Özet

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.