Results 231 to 240 of about 40,966 (267)

ANFIS modeling and Direct ANFIS Inverse control of an Electro-Hydraulic Actuator system

2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), 2013
The existence of high degree of nonlinearity in Electro-Hydraulic Actuator (EHA) has imposed a challenging work in developing a representable model for the system and controller design such that significant control performance can be achieved. The objectives of this paper are to generate an accurate EHA model using ANFIS approach and obtain a ...
T. G. Ling, M. F. Rahmat, A. R. Husain
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ANFIS synthesis by hyperplane clustering

Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2002
Adaptive neuro-fuzzy inference systems (ANFIS) are one of the most popular types of fuzzy neural networks. An usual approach to the synthesis of ANFIS networks is based on clustering a training set of numerical examples of the unknown mapping to be approximated.
PANELLA, Massimo, RIZZI, Antonello, FRATTALE MASCIOLI, Fabio Massimo, MARTINELLI, Giuseppe   +3 more
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2014
The paper is devoted to the problem of construction the spatial distribution fields of urban probabilities based on typical tourist towns of Ukrainian Carpathian Mountains. The method of extracting data from geoinformation systems (GIS) and finding of hidden dependences using fuzzy-logic are considered.
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???????????????????????? ?????????????????????????? ???????????????? ?????????????????? ???????? ANFIS ?? ?????????????? ?????????????????????????????????????? ??????????????????????????????

2010
The fuzzy neural network ANFIS with logical inference of Sugeno is considered. The training algorithm is described and its experimental investigations in the problem of macroeconomic indexes forecasting on the example of Ukrainian economy are presented.
openaire   +1 more source

Hybrid GA-ANFIS and PSO-ANFIS techniques for nonlinear DC motor system modeling

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
This research focuses on nonlinear modeling techniques for direct current (DC) motor, with permanent magnets in the stator, using optimized adaptive neuro-fuzzy inference systems (ANFIS). The traditional linear model fails to accurately represent the dynamics of a DC motor due to nonlinear friction effects. To address this limitation, a nonlinear model
Mitra Vesović, Radiša Jovanović, Vladimir Zarić   +2 more
openaire   +2 more sources

Estimation of ZTD Using ANFIS

2015
This chapter describes the estimation of zenith tropospheric delay (ZTD) using ANFIS technique followed by obtaining of ZTD data from GPS together with data location of dataset. This chapter also describes the method of analysis used in the development of ZTD estimation model.
Wayan Suparta, Kemal Maulana Alhasa
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Hourly solar irradiation forecasting utilising ANFIS and simulated annealing ANFIS

2023
Swatika Srivastava, Mohd Shariq Ansari, Tanu Dhusia, Ravi Jaiswal, Poonam Yadav   +4 more
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An Approach to ANFIS Performance

2015
The paper deals with Adaptive neuro-fuzzy inference system (ANFIS) and its performance. Firstly, ANFIS is described as a hybrid system based on fuzzy logic/sets and artificial neural networks. Subsequently, modifications of ANFIS are proposed. The aim of these modifications is to improve performance, accuracy or reduce computational time.
Stepan Dalecky, Frantisek V. Zboril
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Predictive modeling of swell-strength of expansive soils using artificial intelligence approaches: ANN, ANFIS and GEP

Journal of Environmental Management, 2021
Fazal E Jalal, Yongfu Xu, Mudassir Iqbal
exaly  

Comparing the Performance of ANFIS, LOG10-ANFIS and LOG10-PSO-ANFIS for Universal Theoretical Wireless Signal Propagation Prediction Modelling

2022
Oteri Malack, Kibet Philip, Kihato Peter
openaire   +1 more source