Fuzzy neural networks and neuro-fuzzy networks: A review the main techniques and applications used in the literature
PV de Campos Souza - Applied soft computing, 2020 - Elsevier
This paper presents a review of the central theories involved in hybrid models based on
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
fuzzy systems and artificial neural networks, mainly focused on supervised methods for …
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …
scale applications of biomass‐based energy products are limited due to challenges related …
Tar prediction in bubbling fluidized bed gasification through artificial neural networks
D Serrano, D Castelló - Chemical Engineering Journal, 2020 - Elsevier
Tars are one of the main barriers for the implementation of biomass gasification at industrial
scale. Among the considerable number of models to predict gas composition, there is a lack …
scale. Among the considerable number of models to predict gas composition, there is a lack …
Principal component analysis and partial least square regression models to understand sorption-enhanced biomass gasification
MS Callén, I Martínez, G Grasa, JM Lopez… - Biomass Conversion and …, 2024 - Springer
Gasification represents a potential technology for the conversion of biomass into usable
energy. The influence of the main gasification parameters, ie the type of biomass used and …
energy. The influence of the main gasification parameters, ie the type of biomass used and …
Progresses and Challenges of Machine Learning Approaches in Thermochemical Processes for Bioenergy: A Review
Thermochemical conversions of nonedible biomass into energy are promising alternatives
for ensuring a sustainable energy society. However, determining the optimum design and …
for ensuring a sustainable energy society. However, determining the optimum design and …
Principal component analysis and partial least square regression models to understand sorption-enhanced biomass gasification
MS Callén Romero, I Martínez Berges, G Grasa Adiego… - 2022 - digital.csic.es
Gasification represents a potential technology for the conversion of biomass into usable
energy. The influence of the main gasification parameters, ie the type of biomass used and …
energy. The influence of the main gasification parameters, ie the type of biomass used and …
Fuzzy System Based on Two-Step Cascade Genetic Optimization Strategy for Tobacco Tar Prediction
There are many challenges in accurately measuring cigarette tar constituents. These include
the need for standardized smoke generation methods related to unstable mixtures. In this …
the need for standardized smoke generation methods related to unstable mixtures. In this …