Results 1 to 10 of about 53,858 (257)
ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers [PDF]
Open Engineering, 2016 In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS.
César Manuel Braz, Barros Rui Carneiro
doaj +4 more sources
IMAGE DATA CLASSIFICATION BY NFES-MODEL [PDF]
Jurnal Informatika, 2008 In this paper, we propose an identification method of the land cover from remote sensing data with combining neuro-fuzzy and expert system. This combining then is called by Neuro-Fuzzy Expert System Model (NFES-Model).
M. Givi Efgivia, Safaruddin A. Prasad
doaj +2 more sources
NEURO-FUZZY MODELING OF EYEBALL AND CREST TEMPERATURES IN EGG-LAYING HENS [PDF]
Engenharia Agrícola, 2021 Considering the challenges faced by poultry farming, this study aimed to develop a neuro-fuzzy model to predict eyeball and crest temperatures of egg-laying hens based on environmental conditions (dry bulb temperature and relative humidity).
Ana C. de S. S. Lins +4 more
doaj +1 more source
Spatial modeling of long-term air temperatures for sustainability: evolutionary fuzzy approach and neuro-fuzzy methods [PDF]
PeerJ, 2020 This paper investigates the capabilities of the evolutionary fuzzy genetic (FG) approach and compares it with three neuro-fuzzy methods—neuro-fuzzy with grid partitioning (ANFIS-GP), neuro-fuzzy with subtractive clustering (ANFIS-SC), and neuro-fuzzy ...
Abolghasem Sadeghi-Niaraki +2 more
doaj +2 more sources
Scientific African, 2023 Purpose: Neuro-fuzzy systems aim to combine the benefits of artificial neural networks and fuzzy inference systems: a neural network can learn patterns from data and achieves high performance, whereas a fuzzy system matches inputs and outputs using ...
Hafsaa Ouifak, Ali Idri
doaj +1 more source
Quality of service (QoS) for LTE network based on adaptive neuro fuzzy inference system
IET Communications, 2021 The main objective of this paper is to design an Adaptive Neuro Fuzzy Inference System model to calculate the quality of service for LTE HetNet applications. The quality of service parameters considered are delay, loss rate, throughput, and jitter.
Hala B. Nafea +2 more
doaj +1 more source
Using an adaptive fuzzy-logic system to optimize the performances and the reduction of chattering phenomenon in the control of induction motor [PDF]
Serbian Journal of Electrical Engineering, 2009 Neural networks and fuzzy inference systems are becoming well recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance.
Barazane Linda +3 more
doaj +1 more source
An indirect adaptive neuro-fuzzy speed control of induction motors [PDF]
Journal of Artificial Intelligence and Data Mining, 2016 This paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. The uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and ...
M. Vahedi +2 more
doaj +1 more source
Flexible neuro-fuzzy systems [PDF]
IEEE Transactions on Neural Networks, 2003 In this paper, we derive new neuro-fuzzy structures called flexible neuro-fuzzy inference systems or FLEXNFIS. Based on the input-output data, we learn not only the parameters of the membership functions but also the type of the systems (Mamdani or logical). Moreover, we introduce: 1) softness to fuzzy implication operators, to aggregation of rules and
Leszek Rutkowski, Krzysztof Cpalka
openaire +2 more sources
Kendali Adaptif Neuro Fuzzy PID untuk Kestabilan Terbang Fixed Wing UAV
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2020 Unmanned Aerial Vehicle (UAV) atau pesawat tanpa awak, khususnya jenis fixed wing, banyak digunakan untuk melaksanakan berbagai misi, baik misi sipil maupun militer.
Erwhin Irmawan, Erwan Eko Prasetiyo
doaj +1 more source