A cascade deep neuro fuzzy system for high dimensional online possibilistic fuzzy clustering
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.
2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT)