Deep learning architecture using rough sets and rough neural networks


Purpose – This paper aims to utilize machine learning and soft computing to propose a new method of rough sets using deep learning architecture for many real-world applications. Design/methodology/approach – The objective of this work is to propose a model for deep rough set theory that uses more than decision table and approximating these tables to a… (More)
DOI: 10.1108/K-09-2016-0228


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