Autonomous learning for fuzzy systems: a review
As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …
Fuzzy broad learning system: A novel neuro-fuzzy model for regression and classification
A novel neuro-fuzzy model named fuzzy broad learning system (BLS) is proposed by
merging the Takagi-Sugeno (TS) fuzzy system into BLS. The fuzzy BLS replaces the feature …
merging the Takagi-Sugeno (TS) fuzzy system into BLS. The fuzzy BLS replaces the feature …
Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases
S Lekkas, L Mikhailov - Artificial Intelligence in Medicine, 2010 - Elsevier
OBJECTIVE: This paper reviews a methodology for evolving fuzzy classification which
allows data to be processed in online mode by recursively modifying a fuzzy rule base on a …
allows data to be processed in online mode by recursively modifying a fuzzy rule base on a …
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A survey
Major assumptions in computational intelligence and machine learning consist of the
availability of a historical dataset for model development, and that the resulting model will, to …
availability of a historical dataset for model development, and that the resulting model will, to …
Big data analytics and application for logistics and supply chain management
This special issue explores big data analytics and applications for logistics and supply chain
management by examining novel methods, practices, and opportunities. The articles present …
management by examining novel methods, practices, and opportunities. The articles present …
A type-3 logic fuzzy system: Optimized by a correntropy based Kalman filter with adaptive fuzzy kernel size
In this study, a self-organizing interval type-3 fuzzy logic system (SO-IT3FLS) with a new
learning algorithm is presented. An adaptive kernel size using fuzzy systems is introduced to …
learning algorithm is presented. An adaptive kernel size using fuzzy systems is introduced to …
[图书][B] Evolving fuzzy systems-methodologies, advanced concepts and applications
E Lughofer - 2011 - Springer
In today's industrial systems, economic markets, life and health-care sciences fuzzy systems
play an important role in many application scenarios such as system identification, fault …
play an important role in many application scenarios such as system identification, fault …
SOFMLS: online self-organizing fuzzy modified least-squares network
J de Jesus Rubio - IEEE Transactions on Fuzzy Systems, 2009 - ieeexplore.ieee.org
In this paper, an online self-organizing fuzzy modified least-square (SOFMLS) network is
proposed. The algorithm has the ability to reorganize the model and adapt itself to a …
proposed. The algorithm has the ability to reorganize the model and adapt itself to a …
PANFIS: A novel incremental learning machine
Most of the dynamics in real-world systems are compiled by shifts and drifts, which are
uneasy to be overcome by omnipresent neuro-fuzzy systems. Nonetheless, learning in …
uneasy to be overcome by omnipresent neuro-fuzzy systems. Nonetheless, learning in …
Evolving fuzzy-rule-based classifiers from data streams
PP Angelov, X Zhou - Ieee transactions on fuzzy systems, 2008 - ieeexplore.ieee.org
A new approach to the online classification of streaming data is introduced in this paper. It is
based on a self-developing (e volving) fuzzy-rule-based (FRB) classifier system of T akagi-S …
based on a self-developing (e volving) fuzzy-rule-based (FRB) classifier system of T akagi-S …