Investigations on the applicability of machine learning algorithms to optimize biodiesel composition for improved engine fuel properties
Kiran Raj Bukkarapu,
Anand Krishnasamy
Abstract:Selecting suitable biodiesel for the intended application is challenging due to the significant variations in the feedstock for producing biodiesel. The available models to predict biodiesel properties have limited applicability and reliability. The present work addresses these two challenges by developing reliable models based on machine learning algorithms for predicting engine fuel properties of biodiesel and optimizing biodiesel composition for better fuel properties. The models are developed using multili… Show more
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