
Analysis and Selection of the Best Model of Biomass Briquette Based on Calorific Value
Author(s) -
Musabbikhah,
Harwin Saptoadi,
Subarmono,
Muhammad Arif Wibisono
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1175/1/012270
Subject(s) - akaike information criterion , briquette , bayesian information criterion , mathematics , statistics , selection (genetic algorithm) , coefficient of determination , information criteria , heat of combustion , model selection , residual , mean squared error , value (mathematics) , bayesian probability , computer science , engineering , chemistry , algorithm , coal , organic chemistry , artificial intelligence , combustion , waste management