Optimization of transesterification process for Ceiba pentandra oil: A comparative study between kernel-based extreme learning machine and artificial neural networks

In this study, kernel-based extreme learning machine (K-ELM) and artificial neural network (ANN) models were developed in order to predict the conditions of an alkaline-catalysed transesterification process. The reliability of these models was assessed and compared based on the coefficient of determ...

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Bibliographic Details
Main Authors: Kusumo, F., Silitonga, A.S., Masjuki, H.H., Ong, H.C., Siswantoro, J., Mahlia, T.M.I.
Format: Article
Language:en_US
Published: 2017
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