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Wind power prediction analysis by ANFIS, GA-ANFIS and PSO-ANFIS
Journal of Information and Optimization Sciences, 2022Neeraj Kumar, K. Sudha, Kusum Tharani
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Journal of Hydrology, 2019
Groundwater is one of the most beneficial natural resources worldwide. The main aim of the present study is the mapping of groundwater potential of the Zhangjiamao area in China using two novel hybrid data mining techniques that involve the adaptive ...
Wei Chen +6 more
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Groundwater is one of the most beneficial natural resources worldwide. The main aim of the present study is the mapping of groundwater potential of the Zhangjiamao area in China using two novel hybrid data mining techniques that involve the adaptive ...
Wei Chen +6 more
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ANFIS modeling of nonlinear inductance
2016 International Conference on Electrical and Information Technologies (ICEIT), 2016Adaptive network based fuzzy inference system (ANFIS) is an intelligent neuro-fuzzy technique which has proven to be able to model and control of various nonlinear and uncertain systems. The research presented in this paper aims to develop a new original fuzzy model of single-phase HV power supply of microwave magnetron.
Mohamed Bassoui +2 more
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ANFIS modeling and Direct ANFIS Inverse control of an Electro-Hydraulic Actuator system
2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA), 2013The 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), 2002Adaptive 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 +3 more
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A Novel ANFIS-Based Islanding Detection for Inverter-Interfaced Microgrids
IEEE Transactions on Smart Grid, 2019This paper presents a new islanding detection strategy for low-voltage inverter-interfaced microgrids based on adaptive neuro-fuzzy inference system (ANFIS). The proposed islanding detection method exploits the pattern recognition capability of ANFIS and
Dragan Mlakić +2 more
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Neural computing & applications (Print), 2020
D. J. Armaghani, P. Asteris
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D. J. Armaghani, P. Asteris
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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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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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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.
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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.
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