Results 31 to 40 of about 62,652 (233)

Aplikasi Sistem Neuro-Fuzzy Untuk Pengenalan Kata [PDF]

open access: yes, 2002
This paper describes implementation of neuro-fuzzy system, a hybrid system between neural network and fuzzy logic. In this research, neuro-fuzzy system is implemented for speech recognition.
Chandra, S. (Suntono)   +2 more
core  

Vestibular Patient Journey: Insights From Vestibular Disorders Association (VeDA) Registry

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Vestibular symptoms impose a high burden of disability. Understanding real‐world diagnostic and treatment pathways can identify care gaps and guide interventions. We aimed to characterize symptom profiles, diagnostic trends, provider involvement, and treatment patterns in vestibular disorders.
Ali Rafati   +10 more
wiley   +1 more source

Pemodelan Sistem Kendali Motor Induksi Tiga Fasa menggunakan Pengendali Neuro-Fuzzy Melalui Metode Direct Torque Control

open access: yesJurnal Elkomika, 2022
ABSTRAK Suatu Motor induksi tiga fasa merupakan alat penggerak listrik yang banyak digunakan di industry. Sistem yang akan dikembangkan dalam penelitian ini salah satunya adalah pengendalian kecepatan motor induksi tiga fasa dengan pemodelan system ...
KADEK REDA SETIAWAN SUDA   +4 more
doaj   +1 more source

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

open access: yesArthritis Care &Research, EarlyView.
Objective Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies.
Anahita Deboo   +88 more
wiley   +1 more source

Neuro-Fuzzy Systems Approaches

open access: yesJournal of Advanced Computational Intelligence and Intelligent Informatics, 1999
Two major approaches to neuro-fuzzy systems are distinguished in the paper. The previous one refers to fuzzy neural networks, which are neural networks with fuzzy signals, and/or fuzzy weights, as well as fuzzy transfer functions. The latter approach concerns neuro-fuzzy systems in the form of multilayer feed-forward networks, which differ from ...
Danuta Rutkowska, Yoichi Hayashi
openaire   +1 more source

Neuro-fuzzy dual-mode control of travelling-wave ultrasonic motors [PDF]

open access: yes, 1999
With their significant advantages over traditional electromagnetic motors, ultrasonic motors (USMs) are becoming attractive. This paper presents a neuro-fuzzy dual-mode controller, combining the knowledge-based fuzzy logic and the learning-incorporated ...
Chan, CC, Chau, KT, Chung, SW
core   +1 more source

Current Tracking Adaptive Control of Brushless DC Motors

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García   +3 more
wiley   +1 more source

Fuzzy Logic Systems for Diagnosis of Renal Cancer

open access: yesApplied Sciences, 2020
Renal cancer is a serious and common type of cancer affecting old ages. The growth of such type of cancer can be stopped by detecting it before it reaches advanced or end-stage.
Nikita Jindal   +7 more
doaj   +1 more source

Estimation of the Solid Circulation Rate in Circulating Fluidized Bed System Using Adaptive Neuro-Fuzzy Algorithm

open access: yesEnergies, 2021
Circulating Fluidized Bed gasifiers are widely used in industry to convert solid fuel into liquid fuel. The Artificial Neural Network and neuro-fuzzy algorithm have immense potential to improve the efficiency of the gasifier.
Aamer Bilal Asghar   +4 more
doaj   +1 more source

A neuro-fuzzy approach as medical diagnostic interface [PDF]

open access: yes, 2010
In contrast to the symbolic approach, neural networks seldom are designed to explain what they have learned. This is a major obstacle for its use in everyday life.
Brause, Rüdiger W., Friedrich, F.
core  

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