Application of Elman and Cascade neural network (ENN and CNN) in comparison with adaptive neuro fuzzy inference system (ANFIS) to predict key fuel properties of ABE-diesel blends

• 主要な著者: Veza, Ibham, Muhamad Said, Mohd. Farid, Abdul Latiff, Zulkarnain, Abas, Mohd. Azman
• フォーマット: 論文
• 出版事項: Taylor and Francis Ltd. 2021
• 主題: TJ Mechanical engineering and machinery
• オンライン･アクセス: http://eprints.utm.my/id/eprint/97376/; http://dx.doi.org/10.1080/15435075.2021.1911807

Today, a growing interest to use Acetone-Butanol-Ethanol (ABE) as a biofuel has emerged. Fuel properties play important roles to determine engine’s performance, combustion, and emission behaviors. Yet, the determination of fuel properties is expensive and time-consuming. Previous studies on ABE did...