Bayesian optimized multilayer perceptron neural network modelling of biochar and syngas production from pyrolysis of biomass-derived wastes
Biochar and syngas are important products of pyrolysis that can be employed for a wide range of applications such as catalysts for biodiesel production, wastewater treatment, and the production of oxygenated fuel. This study employs Bayesian optimized multilayer perceptron neural network for modelli...
保存先:
| 主要な著者: | , , , , , , , |
|---|---|
| フォーマット: | 論文 |
| 出版事項: |
Elsevier Ltd
2023
|
| オンライン･アクセス: | http://scholars.utp.edu.my/id/eprint/37310/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161345516&doi=10.1016%2fj.fuel.2023.128832&partnerID=40&md5=af419a089350a25d07b5384547b1e9c8 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|