Results 41 to 50 of about 10,723 (231)

Reactive Power Control of Thyristor Controlled Reactor using Neuro - Fuzzy Controller

Gazi Üniversitesi Fen Bilimleri Dergisi, 2019
In this study, the reactive power of thyristor controlled reactor (TCR) that is fundamental element of flexible ac transmission system devices is controlled using neuro-fuzzy controller.
Ö. Fatih KEÇECİOĞLU, Erdal KILIÇ
doaj   +1 more source

Fingerprint Recognition Based on Adaptive Neuro-Fuzzy Inference System [PDF]

, 2013
Fuzzy logic (FL) is a powerful problem solving methodology receiving wide spread acceptance for a range of applications. FL is also considered for image understanding applications such as edge detection, feature extraction, classification and clustering.
Tripti Rani Borah, Kandarpa Kumar Sarma, Pran Hari Talukdar   +2 more
openaire   +1 more source

A comparison of fuzzy approaches to e-commerce review rating prediction

, 2015
This paper presents a comparative analysis of the performance of fuzzy approaches on the task of predicting customer review ratings using a computational intelligence framework based on a genetic algorithm for data dimensionality reduction.
Cosma, G, Acampora, G
core   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Indirect active and reactive powers control of doubly fed induction generator fed by three-level adaptive-network-based fuzzy inference system – pulse width modulation converter with a robust method based on super twisting algorithms

Electrical engineering & Electromechanics, 2021
Aim. This paper presents the minimization of reactive and active power ripples of doubly fed induction generators using super twisting algorithms and pulse width modulation based on neuro-fuzzy algorithms. Method. The main role of the indirect active and
H. Benbouhenni, A. Driss, S. Lemdani
doaj   +1 more source

Design of an Adaptive Neurofuzzy Inference Control System for the Unified Power-Flow Controller [PDF]

, 2012
This paper presents a new approach to control the operation of the unified power-flow controller (UPFC) based on the adaptive neurofuzzy inference controller (ANFIC) concept.
Farrag, Emad; id_orcid, Farrag, Mohamed, Putrus, Ghanim, Ghanim A. Putrus, Mohamed E. A. Farrag   +4 more
core   +1 more source

PMU‐Based Wide Area Monitoring With Machine Learning to Prevent Blackouts in Bangladesh Power System

Energy Science &Engineering, EarlyView.
A Unified Real‐time Dynamic State Measurements (URTDSM) system with PMU and Phasor Data Concentrator (PDC) deployment plan has been proposed to avoid blackout in the Bangladeshi power system. Machine learning has been used to process data from PMU to identify abnormal events. ABSTRACT The electrical power system must be trustworthy and secure enough to
Imi Bintey Fariha Rahman, Md. Minarul Islam, Md. Shahin Parvej, Abdul Hasib Chowdhury, Taha Selim Ustun, Kashem M. Muttaqi   +5 more
wiley   +1 more source

An approach to online identification of Takagi-Sugeno fuzzy models [PDF]

, 2004
An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the paper. It is based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning.
Angelov, Plamen, Filev, Dimitar, P.P. Angelov, D.P. Filev   +3 more
core   +1 more source

Research progress on the depth of anesthesia monitoring based on the electroencephalogram

Ibrain, Volume 11, Issue 1, Page 32-43, Spring 2025.
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley   +1 more source

An adaptive neuro‐fuzzy inference system optimized by genetic algorithm for brain tumour detection in magnetic resonance images

IET Image Processing
An adaptive neuro‐fuzzy inference system is presented which is optimized by a genetic algorithm to classify normal and abnormal brain tumours. The classifier is fast and simple, named genetic algorithm‐adaptive neuro‐fuzzy inference system, and the ...
Marzieh Ghahramani, Nabiollah Shiri
doaj   +1 more source