Bayesian optimized multilayer perceptron neural network modelling of biochar and syngas production from pyrolysis of biomass-derived wastes

• Main Authors: Kanthasamy, R., Almatrafi, E., Ali, I., Hussain Sait, H., Zwawi, M., Abnisa, F., Choe Peng, L., Victor Ayodele, B.
• Format: Article
• Published: Elsevier Ltd 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/37310/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161345516&doi=10.1016%2fj.fuel.2023.128832&partnerID=40&md5=af419a089350a25d07b5384547b1e9c8

Biochar and syngas are important products of pyrolysis that can be employed for a wide range of applications such as catalysts for biodiesel production, wastewater treatment, and the production of oxygenated fuel. This study employs Bayesian optimized multilayer perceptron neural network for modelli...