EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their …
Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact
with the environment. Recent advancements in technology and machine learning algorithms …
with the environment. Recent advancements in technology and machine learning algorithms …
Recent advances in neuro-fuzzy system: A survey
KV Shihabudheen, GN Pillai - Knowledge-Based Systems, 2018 - Elsevier
Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
and engineering areas due to its effective learning and reasoning capabilities. The neuro …
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 …
[图书][B] Granular computing: analysis and design of intelligent systems
W Pedrycz - 2018 - taylorfrancis.com
Information granules, as encountered in natural language, are implicit in nature. To make
them fully operational so they can be effectively used to analyze and design intelligent …
them fully operational so they can be effectively used to analyze and design intelligent …
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 …
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design
CF Juang - IEEE Transactions on Systems, Man, and …, 2004 - ieeexplore.ieee.org
An evolutionary recurrent network which automates the design of recurrent neural/fuzzy
networks using a new evolutionary learning algorithm is proposed in this paper. This new …
networks using a new evolutionary learning algorithm is proposed in this paper. This new …
Heuristic design of fuzzy inference systems: A review of three decades of research
This paper provides an in-depth review of the optimal design of type-1 and type-2 fuzzy
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …
inference systems (FIS) using five well known computational frameworks: genetic-fuzzy …
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 …
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 …
[图书][B] Data mining with computational intelligence
L Wang, X Fu - 2005 - books.google.com
Finding information hidden in data is as theoretically difficult as it is practically important.
With the objective of discovering unknown patterns from data, the methodologies of data …
With the objective of discovering unknown patterns from data, the methodologies of data …