High-impedance fault detection using multi-resolution signal decomposition and adaptive neural fuzzy inference system

AH Etemadi, M Sanaye-Pasand - IET generation, transmission & distribution, 2008 - IET
High-impedance faults (HIFs) on distribution systems create unique challenges to protection
engineers. HIFs do not produce enough fault current to be detected by conventional …

[PDF][PDF] Evaluation of empirical mode decomposition for event-related potential analysis

N Williams, SJ Nasuto, JD Saddy - EURASIP Journal on Advances in …, 2011 - Springer
Current methods for estimating event-related potentials (ERPs) assume stationarity of the
signal. Empirical Mode Decomposition (EMD) is a data-driven decomposition technique that …

Rule generation of fuzzy logic systems using a self-organized fuzzy neural network

JC Figueroa-García, CM Ochoa-Rey… - Neurocomputing, 2015 - Elsevier
This paper proposes an algorithm for creating rules of a fuzzy logic system using a neuro-
fuzzy approach. The proposal is based on the results of Juang and Tsao who use a Fuzzy …

Design a fuzzy logic controller for a rotary flexible joint robotic arm

J Jalani, S Jayaraman - MATEC web of conferences, 2018 - matec-conferences.org
The purpose of this research is to design a fuzzy logic feedback controller (FLC) in order to
control a desired tip angle position a rotary flexible joint robotic arm. The FLC is also …

Method for exploratory cluster analysis and visualisation of single-trial ERP ensembles

NJ Williams, SJ Nasuto, JD Saddy - Journal of neuroscience methods, 2015 - Elsevier
Background The validity of ensemble averaging on event-related potential (ERP) data has
been questioned, due to its assumption that the ERP is identical across trials. Thus, there is …

Noise reduction in rhythmic and multitrial biosignals with applications to event-related potentials

P Celka, KN Le, TRH Cutmore - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
A new noise reduction algorithm is presented for signals displaying repeated patterns or
multiple trials. Each pattern is stored in a matrix, forming a set of events, which is termed …

A Comparison of ANFIS, ANN and DBR systems on volatile Time Series Identification

J Carlos, F Garcia, JJS Mendez - NAFIPS 2007-2007 Annual …, 2007 - ieeexplore.ieee.org
This paper shows a comparative study for the US Dollar-Colombian Peso Exchange Rate
identification case using statistical models like ARIMA, ARCH and computational …

[PDF][PDF] Towards improved EEG interpretation in a sensorimotor BCI for the control of a prosthetic or orthotic hand

AK Mohamed - Faculty of Engineering. Master of Science in …, 2011 - core.ac.uk
A brain computer interface (BCI), which reroutes neural signals from the brain to actuators in
a prosthetic or orthotic hand, promises to aid those who suffer from hand motor impairments …

發展以小波為基礎的禪定腦電波詮釋方法

張剛鳴, 羅佩禎 - 2005 - ir.lib.nycu.edu.tw
禪定學(Meditation) 是目前新興的另類輔助醫學(CAM) 研究中非常重要且熱門的研究領域.
禪定對於身心健康有很大幫助, 尤其是關於壓力調適, 血壓控制, 情緒管理, 防止老化 …

A comparative study among ANFIS, ANNs, and SONFIS for volatile time series

JA Perdomo-Tovar, EA Galindo-Arevalo… - … : 37th Conference of the …, 2018 - Springer
This paper presents a comparison among ANFIS, ANNs, and a Self Organized Neuro Fuzzy
Inference System (SONFIS) for time series prediction. The Turkish stock index (ISE) series is …