Particle swarm optimized autonomous learning fuzzy system
The antecedent and consequent parts of a first-order evolving intelligent system (EIS)
determine the validity of the learning results and overall system performance. Nonetheless …
determine the validity of the learning results and overall system performance. Nonetheless …
A new type of fuzzy-rule-based system with chaotic swarm intelligence for multiclassification of pain perception from fMRI
Machine learning has been increasingly used in decoding brain states from functional
magnetic resonance imaging (fMRI). One important application is to classify the levels of …
magnetic resonance imaging (fMRI). One important application is to classify the levels of …
Autonomously evolving classifier TEDAClass
In this paper we introduce a classifier named TEDAClass (Typicality and Eccentricity based
Data Analytics Classifier) which is based on the recently proposed AnYa type fuzzy rule …
Data Analytics Classifier) which is based on the recently proposed AnYa type fuzzy rule …
A self-organizing fuzzy logic classifier for benchmarking robot-aided blasting of ship hulls
Regular dry dock maintenance work on ship hulls is essential for maintaining the efficiency
and sustainability of the shipping industry. Hydro blasting is one of the major processes of …
and sustainability of the shipping industry. Hydro blasting is one of the major processes of …
Learning of operator hand movements via least angle regression to be teached in a manipulator
In this document, a control system is developed to allow a manipulator to learn and plan
references from demonstrations given by an operator hand. Data entry is acquired by a …
references from demonstrations given by an operator hand. Data entry is acquired by a …
Semi-supervised fuzzily weighted adaptive boosting for classification
Fuzzy systems offer a formal and practically popular methodology for modeling nonlinear
problems with inherent uncertainties, entailing strong performance and model …
problems with inherent uncertainties, entailing strong performance and model …
Deep rule-based classifier for finger knuckle pattern recognition system
In this paper, we proposed a novel finger knuckle pattern (FKP) based personal
authentication system using multilayer deep rule based (DRB) classifier. The presented …
authentication system using multilayer deep rule based (DRB) classifier. The presented …
A two-variable fuzzy control design with application to an air-conditioning system
S Yordanova, D Merazchiev… - IEEE Transactions on fuzzy …, 2014 - ieeexplore.ieee.org
Air-conditioning systems provide optimal conditions for work, human health, and quality of
living. At the same time, they are one of the greatest household energy consumers …
living. At the same time, they are one of the greatest household energy consumers …
Jointly evolving and compressing fuzzy system for feature reduction and classification
Evolving fuzzy systems (EFSs) are a type of adaptive fuzzy rule-based systems which can
self-adapt both their structures and parameters simultaneously. However, the existing EFSs …
self-adapt both their structures and parameters simultaneously. However, the existing EFSs …
Multilayer Stacked Evolving Fuzzy System Combined with Compressed Representation Learning
In order to process the high-dimensionally complicated problems, the intelligence systems
need to go deeper to learn high-level data representation. In this article, based on the …
need to go deeper to learn high-level data representation. In this article, based on the …