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Interval type-2 fuzzy neural networks for chaotic time series prediction: A concise overview
Chaotic time series widely exists in nature and society (eg, meteorology, physics,
economics, etc.), which usually exhibits seemingly unpredictable features due to its inherent …
economics, etc.), which usually exhibits seemingly unpredictable features due to its inherent …
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 modified interval type-2 Takagi-Sugeno fuzzy neural network and its convergence analysis
In this paper, to compute the firing strength values of type-2 fuzzy models, a soft version of
minimum is presented, which endows the fuzzy model with the ability to solve large …
minimum is presented, which endows the fuzzy model with the ability to solve large …
Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule
Nonstationary fuzzy inference systems (NFISs) model the variation in opinions of individual
experts and expert groups. They have the capability similar to type-2 fuzzy systems in some …
experts and expert groups. They have the capability similar to type-2 fuzzy systems in some …
An incremental learning of concept drifts using evolving type-2 recurrent fuzzy neural networks
The age of online data stream and dynamic environments results in the increasing demand
of advanced machine learning techniques to deal with concept drifts in large data streams …
of advanced machine learning techniques to deal with concept drifts in large data streams …
Optimal design of adaptive type-2 neuro-fuzzy systems: A review
Type-2 fuzzy logic systems have extensively been applied to various engineering problems,
eg identification, prediction, control, pattern recognition, etc. in the past two decades, and the …
eg identification, prediction, control, pattern recognition, etc. in the past two decades, and the …
Refined fault tolerant tracking control of fixed-wing UAVs via fractional calculus and interval type-2 fuzzy neural network under event-triggered communication
The refined fault tolerant tracking control (FTTC) scheme is developed for multiple fixed-wing
unmanned aerial vehicles (UAVs) against actuator faults and wind effects under event …
unmanned aerial vehicles (UAVs) against actuator faults and wind effects under event …
A data-knowledge-driven interval type-2 fuzzy neural network with interpretability and self-adaptive structure
Interval type-2 fuzzy neural networks (IT2FNNs) have gained sustainable attention and wide
applications because of their power of adaptive fuzzy modeling. Although the existing …
applications because of their power of adaptive fuzzy modeling. Although the existing …
Self-evolving function-link interval type-2 fuzzy neural network for nonlinear system identification and control
Determining a network size for a fuzzy neural network structure is very important, and it is
often difficult to obtain the most suitable value. This study develops a self-evolving function …
often difficult to obtain the most suitable value. This study develops a self-evolving function …
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams
The concept of SCN offers a fast framework with universal approximation guarantee for
lifelong learning of non-stationary data streams. Its adaptive scope selection property …
lifelong learning of non-stationary data streams. Its adaptive scope selection property …