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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.07.042
Abstract: Abstract In this paper, we present an adaptive neuro-complex-fuzzy-inferential modeling mechanism (ANCFIMM) for generating higher-order Takagi-Sugeno-Kang (TSK) models, and exploit its split complex-valued gradient descent algorithm (SCGDA). ANCFIMM has five layers, among which the Gaussian…
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Keywords:
adaptive neuro;
complex fuzzy;
modeling mechanism;
fuzzy inferential ... See more keywords