Modelling and optimization of catalytic-dielectric barrier discharge plasma reactor for methane and carbon dioxide conversion using hybrid artificial neural network - genetic algorithm technique
A hybrid artificial neural network-genetic algorithm (ANN-GA) was developed to model, simulate and optimize the catalytic-dielectric barrier discharge plasma reactor. Effects of CH4/CO2 feed ratio, total feed flow rate, discharge voltage and reactor wall temperature on the performance of the reactor...
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Format: | Article |
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Pergamon-Elsevier Science Ltd
2007
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Online Access: | http://eprints.utm.my/id/eprint/8704/ http://dx.doi.org/10.1016/j.ces.2007.07.066 |
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