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
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...
Saved in:
Main Authors: | Veza, Ibham, Muhamad Said, Mohd. Farid, Abdul Latiff, Zulkarnain, Abas, Mohd. Azman |
---|---|
Format: | Article |
Published: |
Taylor and Francis Ltd.
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/97376/ http://dx.doi.org/10.1080/15435075.2021.1911807 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Progress of acetone-butanol-ethanol (ABE) as biofuel in gasoline and diesel engine: A review
by: Veza, Ibham, et al.
Published: (2019) -
Cetane index prediction of ABE-diesel blends using empirical and artificial neural network models
by: Veza, Ibham, et al.
Published: (2020) -
Physico-chemical properties of Acetone-Butanol-Ethanol (ABE)-diesel blends: Blending strategies and mathematical correlations
by: Veza, Ibham, et al.
Published: (2021) -
Recent advances in butanol production by acetone-butanol-ethanol (ABE) fermentation
by: Veza, Ibham, et al.
Published: (2021) -
Electricity Consumption Forecasting Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: Tay, K. G., et al.
Published: (2019)