Enhancing Intercropping Yield Predictability Using Optimally Driven Feedback Neural Network and Loss Functions

Ikram, Amna; Aslam, Waqar

doi:10.1109/access.2024.3486101

IEEE Access

2024

DOI: 10.1109/access.2024.3486101

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Enhancing Intercropping Yield Predictability Using Optimally Driven Feedback Neural Network and Loss Functions

Amna Ikram,

Waqar Aslam

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Fuzzy Neural Network Applications in Biomass Gasification and Pyrolysis for Biofuel Production: A Review

Bukhtoyarov,

Tynchenko,

Bashmur

et al. 2024

Energies

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

show abstract

Fuzzy Neural Network Applications in Biomass Gasification and Pyrolysis for Biofuel Production: A Review

Bukhtoyarov,

Tynchenko,

Bashmur

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

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Enhancing Intercropping Yield Predictability Using Optimally Driven Feedback Neural Network and Loss Functions

Cited by 1 publication

References 61 publications

Fuzzy Neural Network Applications in Biomass Gasification and Pyrolysis for Biofuel Production: A Review

Fuzzy Neural Network Applications in Biomass Gasification and Pyrolysis for Biofuel Production: A Review

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