Results 221 to 230 of about 40,966 (267)
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Automatic training of ANFIS networks
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), 1999In the present paper an automatic training procedure for adaptive neuro-fuzzy inference system (ANFIS) networks is presented. The initialization of the net is carried out by the /spl beta/-min-max fuzzy clustering procedure, which is a modified version of the original min-max technique by Simpson (1993).
RIZZI, Antonello +2 more
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Ischemia prediction using ANFIS
2010 IEEE International Conference on Systems, Man and Cybernetics, 2010In this paper, a novel algorithm to make use of Adaptive Neuro Fuzzy Interference System(ANFIS) in order to predict Ischemia diseases in Electrocardiogram(ECG) signals is presented. Pre-processing for ECG signal has been performed in order to detect QRS complex. Then, baseline wandering and noise suppression is done.
A. Emam +3 more
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Volume 2B: Advanced Manufacturing, 2022
Abstract Milling is one of the old and common cutting processes that utilize rotating tools to take materials off the main component with a combination of tools and workpiece movements. The texture of a machined surface is a key factor in defining how an essential component interacts with its environment.
Serge Balonji +2 more
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Abstract Milling is one of the old and common cutting processes that utilize rotating tools to take materials off the main component with a combination of tools and workpiece movements. The texture of a machined surface is a key factor in defining how an essential component interacts with its environment.
Serge Balonji +2 more
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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
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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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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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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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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
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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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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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