4.3 Article

Faster Self-Organizing Fuzzy Neural Network Training and a Hyperparameter Analysis for a BrainComputer Interface

Related references

Note: Only part of the references are listed.
Review Engineering, Biomedical

A survey of signal processing algorithms in brain-computer interfaces based on electrical brain signals

Ali Bashashati et al.

JOURNAL OF NEURAL ENGINEERING (2007)

Review Engineering, Biomedical

A comprehensive survey of brain interface technology designs

S. G. Mason et al.

ANNALS OF BIOMEDICAL ENGINEERING (2007)

Article Engineering, Biomedical

A time-series prediction approach for feature extraction in a brain-computer interface

D Coyle et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2005)

Article Automation & Control Systems

An approach to Online identification of Takagi-Suigeno fuzzy models

PP Angelov et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2004)

Article Computer Science, Artificial Intelligence

An on-line algorithm for creating self-organizing fuzzy neural networks

G Leng et al.

NEURAL NETWORKS (2004)

Article Automation & Control Systems

An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks

GB Huang et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2004)

Review Clinical Neurology

Brain-computer interfaces for communication and control

JR Wolpaw et al.

CLINICAL NEUROPHYSIOLOGY (2002)

Article Computer Science, Artificial Intelligence

DENFIS: Dynamic evolving neural-fuzzy inference system and its application for time-series prediction

NK Kasabov et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2002)

Article Computer Science, Artificial Intelligence

Adaptive resolution min-max classifiers

A Rizzi et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)

Article Engineering, Biomedical

Estimating the mutual information of an EEG-based brain-computer interface

A Schlogl et al.

BIOMEDIZINISCHE TECHNIK (2002)

Article Automation & Control Systems

Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning

N Kasabov

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2001)

Article Automation & Control Systems

Dynamic fuzzy neural networks - A novel approach to function approximation

SQ Wu et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2000)