Results 141 to 150 of about 6,025 (187)

Modified ANFIS architecture - improving efficiency of ANFIS technique

7th Seminar on Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004, 2005
Adaptive neuro-fuzzy inference systems (ANFIS), fusing the capabilities of artificial neural networks and fuzzy inference systems, offer a lot of space for solving different kinds of problems, and are especially efficient in the domain of signal prediction. However, the ANFIS technique is sometimes notated as being computationally expensive. The paper,
B.B. Jovanovic, I.S. Reljin, B.D. Reljin
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Ischemia prediction using ANFIS

2010 IEEE International Conference on Systems, Man and Cybernetics, 2010
In 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.
Ali Emam, Hoda Tonekabonipour, Mohammad Teshnehlab, Mahdi Aliyari Shoorehdeli   +3 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), 2004
Structure-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.
Hong Hui, Jianhua Li
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ANFIS Models for Heart Disease Prediction

2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021
Coronary heart disease is the one of the most common diseases and a major cause of death internationally. The early detection and prediction of such disease is thus very important for human life. Currently, the Adaptive Neural Fuzzy Inference System (ANFIS) is increasingly becoming popular in the field of prediction and diagnosis of medical disease ...
Siyue Song, Tianhua Chen, Grigoris Antoniou   +2 more
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Automatic training of ANFIS networks

FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), 1999
In 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, FRATTALE MASCIOLI, Fabio Massimo, MARTINELLI, Giuseppe   +2 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 Vítezslav Zboril   +1 more
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IT2 TSK NSFLS2 ANFIS

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, María de los Angeles Hernandez Medina   +1 more
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Estimating Evaporation Using ANFIS

Journal of Irrigation and Drainage Engineering, 2006
Water resources engineering assessment requires simple but effective evaporation estimation procedures, especially from readily measurable meteorological factors. Unfortunately, such approaches are rather scarce in the literature. In this paper, an adaptive neural-based fuzzy inference system (ANFIS) was applied to daily meteorology data from the Lake ...
KESKİN, Mustafa Erol, TAYLAN, Emine Dilek, Terzi, Özlem   +2 more
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Adaptive hybrid ANFIS-PSO and ANFIS-GA approach for occupational risk prediction

International Journal of Occupational Safety and Ergonomics
This study attempted to optimize the adaptive neuro-fuzzy inference system (ANFIS) using particle swarm optimization (PSO) and a genetic algorithm (GA) for calculating occupational risk. Numerous studies have shown that the ANFIS is a good approach for predicting engineering problems. However, it is not well investigated in the area of risk assessment.
Mourad Achouri, Youcef Zennir, Cherif Tolba   +2 more
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Multisensors signal processing using ANFIS

2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013
An improved algorithm of intelligent data processing by integrating the modified identification method of individual characteristic curve along with the adaptive neuro-fuzzy inference system (ANFIS) was proposed. The results of data prediction with training the ANFIS system and the different number of training epochs are described.
Nataliya Roshchupkina, Anatoly Sachenko, Olekxiy Roshchupkin, Volodymyr Kochan, Radislav Smid   +4 more
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