Design of Adaptive Neural Fuzzy Controller for Speed Control of BLDC Motors
Majlesi Journal of Electrical EngineeringThe purpose of this paper is to design an adaptive neuro-fuzzy controller to control the speed of the BLDC motor. This paper throws overall view of the performance of fuzzy PID controller and compares with fuzzy - adaptive neural controller.
Akbar Karimi Pouya
doaj
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
SYNTHESIS OF NEURO-FUZZY NETWORK FOR STABILIZING TEMPERATURE IN PROCESS OF CONTINUOUS STERILIZATION
Вестник Северо-Кавказского федерального университета, 2022 To synthesize a neuro-fuzzy network of stabilizing temperature there is a view on the development of a base of rules for a fuzzy controller taking into account the optimal object management and training of a hybrid neural network.
Elena Valerievna Lubentsova
doaj
Takagi-Sugeno Neuro-Fuzzy Modeling of a Multivariable Nonlinear Antenna System
The Journal of Engineering Research, 2005 This article investigates the use of a clustered based neuro-fuzzy system to nonlinear dynamic system modeling. It is focused on the modeling via Takagi-Sugeno (T-S) modeling procedure and the employment of fuzzy clustering to generate suitable initial ...
E. A. Al-Gallaf
doaj +1 more source
Neuro-fuzzy system based proportional derivative gain optimized attitude control of CubeSat under LEO perturbations. [PDF]
Heliyon, 2023 Shehzad MF +4 more
europepmc +1 more source
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Purpose To evaluate the correspondence between myelin water fraction (MWF) estimates derived from multi‐echo spin echo (MESE) and multi‐echo gradient echo (MGRE) imaging in fixed mouse brain tissue, using a panel of myelin basic protein (Mbp) enhancer‐edited mouse lines exhibiting graded hypomyelination.
Vladimir Grouza +11 more
wiley +1 more source
Deep Neuro-Fuzzy System application trends, challenges, and future perspectives: a systematic survey. [PDF]
Artif Intell Rev, 2023 Talpur N +5 more
europepmc +1 more source
International Journal of Mechanical System Dynamics, EarlyView.ABSTRACT Understanding the dynamic behavior of structural components is crucial for optimizing performance and ensuring structural integrity. This study presents a new method that combines a systematic experimental investigation of four distinct hole geometries (circular, square, compact rectangular, and long rectangular) with varying hole counts, all ...
Amir Hossein Rabiee +3 more
wiley +1 more source
Prediction of queuing length at metering roundabout using adaptive neuro fuzzy inference system
Measurement + Control, 2019 A metering roundabout where traffic is controlled by signals where phase times are influenced by queue detector occupancy may be the solution to reduce queue lengths under unbalanced traffic flows.
Hong Ki An, Ahmed N Abdalla
doaj +1 more source
Study of Discrete Choice Models and Adaptive Neuro-Fuzzy Inference System in the Prediction of Economic Crisis Periods in USA [PDF]
In this study two approaches are applied for the prediction of the economic recession or expansion periods in USA. The first approach includes Logit and Probit models and the second is an Adaptive Neuro-Fuzzy Inference System (ANFIS) with Gaussian and ...
Eleftherios Giovanis
core