Results 211 to 220 of about 55,481 (267)
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2010 Ninth Mexican International Conference on Artificial Intelligence, 2010
This article presents a novel learning methodology based on the hybrid mechanism for training interval type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems (FLS). Using input-output data pairs during the forward pass of the training and prediction processes, the interval type-2 non-singleton type-2 TSK FLS the consequent parameters are ...
Gerardo M. Mendez +1 more
openaire +1 more source
This article presents a novel learning methodology based on the hybrid mechanism for training interval type-2 non-singleton type-2 Takagi-Sugeno-Kang fuzzy logic systems (FLS). Using input-output data pairs during the forward pass of the training and prediction processes, the interval type-2 non-singleton type-2 TSK FLS the consequent parameters are ...
Gerardo M. Mendez +1 more
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Controlling chaos using ANFIS-based Composite Controller (ANFIS-CC) in power systems
International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, 2009Chaos appears as nonlinear oscillations in a power system and these phenomena are caused by Disturbing of Energy (DE) when a power system is in critical loading. Chaos causes instability and voltage collapse and must be avoided. The ANFIS-based Composite Controller (ANFIS-CC) is proposed to solve these phenomena.
I M. Ginarsa +2 more
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Journal of Contaminant Hydrology, 2021
Accurate calculation of the longitudinal dispersion coefficient (Kx) of pollution is essential in modeling river pollution status. Various equations are presented to calculate the Kx using experimental, analytical, and mathematical methods.
Naser Arya Azar +2 more
semanticscholar +1 more source
Accurate calculation of the longitudinal dispersion coefficient (Kx) of pollution is essential in modeling river pollution status. Various equations are presented to calculate the Kx using experimental, analytical, and mathematical methods.
Naser Arya Azar +2 more
semanticscholar +1 more source
Fingerprint matching using ANFIS
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004Structure-based algorithm for fingerprint recognition fits well into the need of general solid-state captures that have limited wafer area. It makes use of the abundant structure information of fingerprint image, and moreover, its Gabor feature vectors have equal length good for quickly matching.
null Hui Hong, null Li Jian-hua
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Environmental Research, 2020
In this study, we propose an improved version of the adaptive neuro-fuzzy inference system (ANFIS) for forecasting the air quality index in Wuhan City, China.
M. Al-qaness +4 more
semanticscholar +1 more source
In this study, we propose an improved version of the adaptive neuro-fuzzy inference system (ANFIS) for forecasting the air quality index in Wuhan City, China.
M. Al-qaness +4 more
semanticscholar +1 more source
Journal of Environmental Chemical Engineering, 2020
Maintaining stable operation of aerobic granular sludge (AGS) reactors is a challenge due to the high sensitivity of the biomass to a wide array of parameters, and the frequent changes in influent characteristics.
M. Zaghloul +3 more
semanticscholar +1 more source
Maintaining stable operation of aerobic granular sludge (AGS) reactors is a challenge due to the high sensitivity of the biomass to a wide array of parameters, and the frequent changes in influent characteristics.
M. Zaghloul +3 more
semanticscholar +1 more source
Ischemia detection via ECG using ANFIS
2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008An adaptive neuro-fuzzy interface system (ANFIS) classifier was used for automated detection of ischemic episodes resulting from ST-T segment elevation or depression. The performance of the method was measured using the European ST-T database. In particular, the performance was measured in terms of beat by- beat ischemia detection and in terms of the ...
Ali, Gharaviri +2 more
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ISA transactions, 2020
This research work put forward an intelligent method for diagnosis and classification of power transformers faults based on the instructive Dissolved Gas Analysis Method (DGAM) attributes and machine learning algorithms.
Lilia Tightiz +3 more
semanticscholar +1 more source
This research work put forward an intelligent method for diagnosis and classification of power transformers faults based on the instructive Dissolved Gas Analysis Method (DGAM) attributes and machine learning algorithms.
Lilia Tightiz +3 more
semanticscholar +1 more source
2007
This article presents a new learning methodology based on a hybrid algorithm for interval type-1 non-singleton type-2 TSK fuzzy logic systems (FLS). Using input-output data pairs during the forward pass of the training process, the interval type-1 non-singleton type-2 TSK FLS output is calculated and the consequent parameters are estimated by the ...
Gerardo M. Mendez, Ma. Angeles Hernandez
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This article presents a new learning methodology based on a hybrid algorithm for interval type-1 non-singleton type-2 TSK fuzzy logic systems (FLS). Using input-output data pairs during the forward pass of the training process, the interval type-1 non-singleton type-2 TSK FLS output is calculated and the consequent parameters are estimated by the ...
Gerardo M. Mendez, Ma. Angeles Hernandez
openaire +1 more source
Modeling and analysis of significant process parameters of FDM 3D printer using ANFIS
, 2020The present work deals with the effects of significant parameters of the Fused Deposition Modeling (FDM) 3D printer on the tensile strength of materials like PETG, ABS and multi-material (60% ABS + 40% PETG).
Dinesh Yadav +4 more
semanticscholar +1 more source