A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment

Title
A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment
Authors
Keywords
Deep belief network, Genetic algorithm, Modeling and simulation, Wastewater treatment process, Pulping and paper-making industry
Journal
JOURNAL OF CLEANER PRODUCTION
Volume 265, Issue -, Pages 121787
Publisher
Elsevier BV
Online
2020-04-24
DOI
10.1016/j.jclepro.2020.121787

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