Multiple regression and genetic programming for coal higher heating value estimation

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@Article{Boumanchar:2018:IJGE,

• author = "Imane Boumanchar and Younes Chhiti and Fatima Ezzahrae M'Hamdi Alaoui and Abdelaziz Sahibed-Dine and Fouad Bentiss and Charafeddine Jama and Mohammed Bensitel",
• title = "Multiple regression and genetic programming for coal higher heating value estimation",
• journal = "International Journal of Green Energy",
• year = "2018",
• volume = "15",
• number = "14-15",
• pages = "958--964",
• keywords = "genetic algorithms, genetic programming, coal, higher heating value, multiple regression, prediction, life sciences",
• URL = "https://hal.inrae.fr/hal-02620955",
• DOI = "doi:10.1080/15435075.2018.1529591",
• publisher = "Taylor \& Francis",
• ISSN = "1543-5075",
• eissn = "1543-5083",
• abstract = "The higher heating value (HHV) is an important characteristic for the determination of fuels quality. Nevertheless, its experimental measurement requires intricate technologies. In this work, the HHV of coal was predicted from ultimate composition using two methods: multiple regression and genetic programming. A dataset of 100 samples from literature was exploited (75percent for training and 25percent for testing). A comparative study was elaborated between the developed models and published ones in terms of correlation coefficient, root mean square error, and mean absolute percent error. The adopted models gave a good statistical performance. Abbreviations: C: Carbon; CC: Correlation coefficient; H: Hydrogen; HHV: Higher heating valueI; GT: Institute of gas technology; GP: Genetic programming; LHV: Lower heating value; MAPE: Mean absolute percent error; N: Nitrogen; O: Oxygen; RMSE: Root mean square error; S: sulfur; Wt: Weight percentage",
• ISSN = "1543-5075",
• annote = "Universite Chouaib Doukkali (UCD); Unite Materiaux et Transformations - UMR 8207 (UMET) ; Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Superieure de Chimie de Lille (ENSCL)-Universite de Lille-Centre National de la Recherche Scientifique (CNRS)",
• bibsource = "OAI-PMH server at api.archives-ouvertes.fr",
• contributor = "Unite Materiaux et Transformations - UMR 8207",
• identifier = "hal-02620955; DOI: 10.1080/15435075.2018.1529591; PRODINRA: 465078; WOS: 000450845200007",
• language = "en",
• oai = "oai:HAL:hal-02620955v1",
• relation = "info:eu-repo/semantics/altIdentifier/doi/10.1080/15435075.2018.1529591",

}

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

Citations