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...
Disimpan dalam:
| Pengarang-pengarang Utama: | , |
|---|---|
| Format: | Artikel |
| Diterbitkan: |
Pergamon-Elsevier Science Ltd
2007
|
| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.utm.my/8704/ http://eprints.utm.my/8704/ http://eprints.utm.my/8704/ |
| Penanda-penanda: |
Tambah Penanda
Tiada Penanda, Jadilah orang pertama menanda rekod ini!
|
Jadilah orang pertama meninggalkan komen!