Energies, Год журнала: 2024, Номер 18(1), С. 16 - 16

Опубликована: Дек. 24, 2024

The increasing demand for sustainable energy has spurred interest in biofuels as a renewable alternative to fossil fuels. Biomass gasification and pyrolysis are two prominent thermochemical conversion processes biofuel production. While these effective, they often influenced by complex, nonlinear, uncertain factors, making optimization prediction challenging. This study highlights the application of fuzzy neural networks (FNNs)—a hybrid approach that integrates strengths logic networks—as novel tool address challenges. Unlike traditional methods, FNNs offer enhanced adaptability accuracy modeling nonlinear systems, them uniquely suited biomass processes. review not only ability optimize predict performance but also identifies their role advancing decision-making frameworks. Key challenges, benefits, future research opportunities explored, showcasing transformative potential

Язык: Английский