Results 51 to 60 of about 31,665 (232)

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

Intelligent Learning Algorithms for Active Vibration Control [PDF]

, 2007
YesThis correspondence presents an investigation into the comparative performance of an active vibration control (AVC) system using a number of intelligent learning algorithms.
Dahal, Keshav P., Hossain, M. Alamgir, Madkour, A.A.M.   +2 more
core   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method [PDF]

Price, Geostatistical model, Kiriging, Inverse distance weighting, Winter’s method, Adaptive neuro fuzzy inference system, Potatoes, Onions, Iran, Crop Production/Industries, Demand and Price Analysis,
Amiri, Arshia, Bakhshoodeh, Mohamad, Najafi, Bahaeddin   +2 more
core   +4 more sources

Clinical use and radiological yield of magnetic resonance fingerprinting in epilepsy

Epilepsia, EarlyView.
Abstract Objective Magnetic resonance fingerprinting (MRF) is a novel paradigm for magnetic resonance imaging (MRI) that efficiently generates multiparametric quantitative tissue property maps with a single acquisition. Its quantitative nature offers many advantages over conventional MRI.
Maksim Parfyonov, Ting‐Yu Su, Joon Yul Choi, Ingmar Blümcke, Ken Sakaie, Spencer Morris, Hiroatsu Murakami, Andreas Alexopoulos, Imad Najm, Dan Ma, Stephen E. Jones, Zhong Irene Wang   +11 more
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

Novel Intelligence ANFIS Technique for Two-Area Hybrid Power System’s Load Frequency Regulation [PDF]

E3S Web of Conferences
The main objective of Load Frequency Control (LFC) is to effectively manage the power output of an electric generator at a designated site, in order to maintain system frequency and tie-line loading within desired limits, in reaction to fluctuations. The
Nireekshana Namburi, Ramachandran R., Narayana G.V.   +2 more
doaj   +1 more source

Designing full-order sliding mode controller based on ANFIS approximator for uncertain nonlinear chaotic systems [PDF]

International Journal of Industrial Electronics, Control and Optimization, 2019
In this paper, a full-order sliding mode controller, based on adaptive neuro-fuzzy inference system is proposed as approximator, for controlling nonlinear chaotic systems in presence of uncertainty.
Khadijeh Akbari, Behrooz Rezaie, Safa Khari   +2 more
doaj   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Prediction of Breast Cancer Metastasis Using Fuzzy Models based on Data from Iranian Breast Cancer Patients

مجله انفورماتیک سلامت و زیست پزشکی, 2020
Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women.
Arezou HomaieFasih, Alireza Atashi, Hojjat Ahsani Tehrani   +2 more
doaj