Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model
One of the major challenges confronting researchers is how to predict biogas yield because it is a herculean task since research in the field of modeling and optimization of biogas yield is still limited, especially with the adaptive neuro-fuzzy inference system (ANFIS). This study used ANFIS to mod...
Main Authors: | Moses Oluwatobi Fajobi, Olumuyiwa Ajani Lasode, Adekunle Akanni Adeleke, Peter Pelumi Ikubanni, Ayokunle Olubusayo Balogun, Prabhu Paramasivam |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2023-01-01
|
Series: | Journal of Engineering |
Online Access: | http://dx.doi.org/10.1155/2023/9335814 |
Similar Items
-
Electrochemical investigation of the corrosion susceptibility of hybrid reinforced Al6063 with SiC and PKSA in 1.0 M sulfuric acid environment
by: Peter Pelumi Ikubanni, et al.
Published: (2024-03-01) -
Energy from biomass and plastics recycling: a review
by: Samuel Oluwafikayo Adegoke, et al.
Published: (2021-01-01) -
Thermo-Analytical and Physico-Chemical Characterization of Woody and Non-Woody Biomass from an Agro-ecological Zone in Nigeria
by: Ayokunle Oluwabusayo Balogun, et al.
Published: (2014-07-01) -
Anaerobic Codigestion of Tuber Waste and Fruit Waste: Synergy and Enhanced Biogas Production
by: Register Mrosso, et al.
Published: (2023-01-01) -
Comparison of the methane potential obtained by anaerobic codigestion of urban solid waste and lignocellulosic biomass
by: H.I. Romero, et al.
Published: (2020-02-01)