Adaptive neuro-fuzzy inference system and artificial neural network modeling of proton exchange membrane fuel cells based on nanocomposite and recast Nafion membranes-Reference-Cited by-同舟云学术

Adaptive neuro-fuzzy inference system and artificial neural network modeling of proton exchange membrane fuel cells based on nanocomposite and recast Nafion membranes

Published:2011-10-03 Issue:4 Volume:37 Page:347-357
ISSN:0363-907X
Container-title:International Journal of Energy Research
language:en
Short-container-title:Int. J. Energy Res.

Author:

Amirinejad Mehdi¹,Tavajohi-Hasankiadeh Naser¹,Madaeni Sayed Siavash¹,Navarra Maria Assunta²,Rafiee Ezzat³,Scrosati Bruno²

Affiliation:

1. Membrane Research Center, Department of Chemical Engineering; Razi University; Kermanshah; Iran

2. Department of Chemistry; University of Rome “La Sapienza”; Rome; 00185; Italy

3. Department of Inorganic Chemistry, Faculty of Chemistry; Razi University; Kermanshah; Iran

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference48 articles.

1. Environmental and sustainability aspects of hydrogen and fuel cell systems;Dincer;International Journal of Energy Research,2007

2. Modeling solid oxide fuel cells using continuous-time recurrent fuzzy systems;Flemming;Engineering Applications of Artificial Intelligence,2008

3. Load sharing using fuzzy logic control in a fuel cell/ultra-capacitor hybrid vehicle;Kisacikoglu;International Journal of Hydrogen Energy,2009

4. Performance prediction of a proton exchange membrane fuel cell using the ANFIS model;Vural;International Journal of Hydrogen Energy,2009

5. Evaluation of membrane fouling models based on bench-scale experiments: A comparison between constant flow rate blocking laws and artificial neural network (ANNs) model;Liu;Journal of Membrane Science,2008

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Readiness of artificial intelligence technology for managing energy demands from renewable sources;Engineering Applications of Artificial Intelligence;2024-09

2. Implementation of Accurate Parameter Identification for Proton Exchange Membrane Fuel Cells and Photovoltaic Cells Based on Improved Honey Badger Algorithm;Micromachines;2024-07-31

3. Towards Reliable Prediction of Performance for Polymer Electrolyte Membrane Fuel Cells via Machine Learning-Integrated Hybrid Numerical Simulations;Processes;2024-05-31

4. External Control Strategy for Seasonal Thermal Energy Storage;2024

5. Modeling membrane formation;Polymeric Membrane Formation by Phase Inversion;2024