An adaptive neuro-complex-fuzzy-inferential modeling mechanism for generating higher-order TSK models
Sign Up to like & getrecommendations! 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… read more here.
Keywords: adaptive neuro; complex fuzzy; modeling mechanism; fuzzy inferential ... See more keywords
Deep Bayesian Slow Feature Extraction With Application to Industrial Inferential Modeling
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3129888
Abstract: Inferential modeling has been of significance for modern manufacturing in estimating the quality-related process variables. As an effective inferential model, probabilistic slow feature analysis (PSFA) has gained attention in regression tasks to interpret dynamic properties… read more here.
Keywords: slow feature; inferential modeling; deep bayesian; feature ... See more keywords