Prediction of Flotation Deinking Performance: A Comparative Analysis of Machine Learning Techniques
Tamara Gavrilović,
Vladimir Despotović,
Madalina-Ileana Zot
et al.
Abstract:Flotation deinking is one of the most widely used techniques for the separation of ink particles from cellulose fibers during the process of paper recycling. It is a complex process influenced by a variety of factors, and is difficult to represent and usually results in models that are inconvenient to implement and/or interpret. In this paper, a comprehensive study of several machine learning methods for the prediction of flotation deinking performance is carried out, including support vector regression, regre… Show more
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