Biomass higher heating value prediction from ultimate analysis using multiple regression and genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@Article{boumanchar:BCaB,

• author = "Imane Boumanchar and Kenza Charafeddine and Younes Chhiti and Fatima Ezzahrae M'hamdi Alaoui and Abdelaziz Sahibed-dine and Fouad Bentiss and Charafeddine Jama and Mohammed Bensitel",
• title = "Biomass higher heating value prediction from ultimate analysis using multiple regression and genetic programming",
• journal = "Biomass Conversion and Biorefinery",
• year = "2019",
• volume = "9",
• number = "3",
• pages = "499--509",
• month = sep,
• keywords = "genetic algorithms, genetic programming, Higher heating value, HHV prediction, Multiple variable regression",
• ISSN = "2190-6815",
• URL = "http://link.springer.com/article/10.1007/s13399-019-00386-5",
• DOI = "doi:10.1007/s13399-019-00386-5",
• size = "11 pages",
• abstract = "The higher heating value (HHV) is a significant parameter for the determination of fuel quality. However, its measurement is time-consuming and requires sophisticated equipment. For this reason, several researches have been interested to develop mathematical models for the prediction of HHV from fundamental composition. The purpose of this study is to develop new correlations to determine the biomass HHV from ultimate analysis. As a result, two models were elaborated. The first was developed using multiple variable regression analysis while the second has adopted genetic programming formalism. Data of 171 from various types of biomass samples were randomly used for the development (75percent) and the validation (25percent) of new equations. The accuracy of the established models was compared to previous literature works in terms of correlation coefficient (CC), average absolute error (AAE), and average bias error (ABE). The proposed models were more performing with the highest CC and the smallest errors.",

}

Genetic Programming entries for Imane Boumanchar Kenza Charafeddine Younes Chhiti Fatima Ezzahrae M'hamdi Alaoui Abdelaziz Sahibed-Dine Fouad Bentiss Charafeddine Jama Mohammed Bensitel

Citations