Topology learning-based fuzzy random neural networks for streaming data regression
As a type of evolving-fuzzy system, the evolving-fuzzy-neuro (EFN) system uses the structure
inspired by neural networks to determine its parameters (fuzzy sets and fuzzy rules), so EFN …
inspired by neural networks to determine its parameters (fuzzy sets and fuzzy rules), so EFN …
Introduction to the special issue on fuzzy analytics and stochastic methods in neurosciences
Introduction to the Special Issue on Fuzzy Analytics and Stochastic Methods in
Neurosciences | IEEE Transactions on Fuzzy Systems skip to main content ACM Digital …
Neurosciences | IEEE Transactions on Fuzzy Systems skip to main content ACM Digital …
Deep self-supervised clustering with embedding adjacent graph features
X Jiang, P Qian, Y Jiang, Y Gu… - Systems Science & Control …, 2022 - Taylor & Francis
Deep clustering uses neural networks to learn the low-dimensional feature representations
suitable for clustering tasks. Numerous studies have shown that learning embedded …
suitable for clustering tasks. Numerous studies have shown that learning embedded …
Fuzzy general linear modeling for functional magnetic resonance imaging analysis
Functional magnetic resonance imaging (fMRI) is a key neuroimaging technique. The
classic fMRI analysis pipeline is based on the assumption that the hemodynamic response …
classic fMRI analysis pipeline is based on the assumption that the hemodynamic response …
[PDF][PDF] Possibilistic linear and quadratic regression analysis for fuzzy random data and application
M Sahoo, S Chakraverty - … .s3.ap-south-1.amazonaws.com
Regression is the study of how the distribution of response varies as the values of its
predictors change. Regression models are employed in almost every area of science and …
predictors change. Regression models are employed in almost every area of science and …