Improved prediction accuracy of biomass heating value using proximate analysis with various ANN training algorithms

• Main Authors: Veza, I., Irianto, Panchal, H., Paristiawan, P.A., Idris, M., Fattah, I.M.R., Putra, N.R., Silambarasan, R.
• Format: Article
• Published: Elsevier B.V. 2022
• Online Access: http://scholars.utp.edu.my/id/eprint/34047/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139393323&doi=10.1016%2fj.rineng.2022.100688&partnerID=40&md5=0dc9be659633a4ee962e7d26b04fe4e6

The conventional experimental methods to determine biomass heating value are laborious and costly. Numerous correlations to estimate biomass' higher heating values have been proposed using proximate analysis. Recently, the utilisation of artificial neural network (ANN) has been extensively appl...