A cascade deep neuro-fuzzy system for high-dimensional online possibilistic fuzzy clustering

Abstract

A cascade deep learning system (based on neuro-fuzzy nodes) and its online learning procedure are proposed in this paper. The system is based on nodes of a special type. A goal function of a special type is used for possibilistic high-dimensional fuzzy clustering. To estimate a clustering quality of data processing, an optimal value of a cluster validity index is used.