Article Highlights • Mathematical models are proposed for the removal of lactose from milk • Multilayer perceptron and radial basis function neural networks are applied • Neural models (MLP and RBF) were developed to predict breakthrough curves • The operational parameters were evaluated for lactose adsorption capacity • The models effectively predicted the breakthrough curves under various conditions
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.