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Neuro-evolutionary approach applied for optimizing the PEMFC performance

Author
CURTEANU, Silvia1 ; PIULEAC, Ciprian-George1 ; LINARES, Jose J2 ; CANIZARES, Pablo3 ; RODRIGO, Manuel A3 ; LOBATO, Justo3
[1] Gheorghe Asachi Technical University Iasi, Faculty of Chemical Engineering and Environmental Protection, Department of Chemical Engineering, Bd. Prof. dr. doc. D. Mangeron, No. 73, 700050 Iasi, Romania
[2] Laboratory of Chemical Processes, Institute of Chemistry, University of Brasilia Campus Universitário Darcy Ribeiro, CP 04478 Brasilia, Brazil
[3] Chemical Engineering Department, University of Castilla-La Mancha, Campus Universitario s/n, 13004 Ciudad Real, Spain
Conference name
CONAPPICE 2012 (Madrid 2012-11-21)
Source

International journal of hydrogen energy. 2014, Vol 39, Num 8, pp 4037-4043, 7 p ; ref : 25 ref

CODEN
IJHEDX
ISSN
0360-3199
Scientific domain
General chemistry, physical chemistry; Energy
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Conference Paper
Language
English
Author keyword
Genetic algorithm High temperature PEMFCs Optimization Stacked neural network
Keyword (fr)
Algorithme génétique Haute température Hydrogène Optimisation Performance Pile combustible Réseau neuronal
Keyword (en)
Genetic algorithm High temperature Hydrogen Optimization Performance Fuel cell Neural network
Keyword (es)
Algoritmo genético Alta temperatura Hidrógeno Optimización Rendimiento Pila combustión Red neuronal
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06B Fuels / 001D06B06 Alternative fuels. Production and utilization / 001D06B06B Hydrogen

Discipline
Energy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28362704

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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