Bioethanol production optimization through machine learning algorithm approach: biomass characteristics, saccharification, and fermentation conditions for enzymatic hydrolysis

In this study, the optimized decision-making system (OD-MS) algorithm in machine learning for optimizing the enzymatic hydrolysis saccharification, fermentation conditions, and its yield was studied. Two hundred fifty datasets were collected as training data from various studies and experimental res...

Celý popis

Podrobná bibliografie

Vydáno v:	Biomass conversion and biorefinery Ročník 13; číslo 8; s. 7287 - 7299
Hlavní autoři:	Vinitha, Nithianantharaj, Vasudevan, Jaikumar, Gopinath, Kannappan Panchamoorthy
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023
Témata:	Biotechnology Energy Original Article Renewable and Green Energy Glucose Support vector machine Ethanol yield Optimized decision-making system algorithm Machine learning algorithm
ISSN:	2190-6815, 2190-6823
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!