A review on Application of Adaptive Neuro-Fuzzy Inference System for Biodiesel Production

Abstract

Biodiesel has prospective to greatly provide to sustainability of fuels for transportation. Biodiesel manufacturing is complex and nonlinear and consumption processes need the usage of rapid and accurate modelling tools for their design and optimization. The predictive ability of ANFIS approaches has been shown. This work is devoted to a full evaluation and critical discussion of ANFIS technology applications for biodiesel research modelling applications. In biodiesel research, ANFIS technology has been widely employed to model various trans esterification processes. As a result, future research appears to be focused on using ANFIS approaches for real-world biodiesel production monitoring to improve efficiency, feasibility, and sustainability.