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Predictions of elemental composition of coal and biomass from their proximate analyses using ANFIS, ANN and MLR

Abstract The elemental composition of coal and biomass provides significant parameters used in the design of almost all energy conversion systems and projects. The laboratory tests to determine the elemental composition of coal and biomass is time-consuming and costly. However, limited research has...

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Principais autores: Abiodun Ismail Lawal, Adeyemi Emman Aladejare, Moshood Onifade, Samson Bada, Musa Adebayo Idris
Formato: Artigo
Idioma:Inglês
Publicado em: SpringerOpen 2020-07-01
coleção:International Journal of Coal Science & Technology
Assuntos:
Biomass
Coal
Elemental composition
Proximate analysis
Soft computing
Regression analysis
Acesso em linha:https://doi.org/10.1007/s40789-020-00346-9
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