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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 +2 more
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H2-selective mixed matrix membranes modeling using ANFIS, PSO-ANFIS, GA-ANFIS
International Journal of Hydrogen Energy, 2017Abstract The novel contribution of the current study is to employ adaptive neuro-fuzzy inference system (ANFIS) for evaluation of H2-selective mixed matrix membranes (MMMs) performance in various operational conditions. Initially, MMMs were prepared by incorporating zeolite 4A nanoparticles into polydimethylsiloxane (PDMS) and applied in gas ...
Mashallah Rezakazemi +2 more
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Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
Journal of Hydrology, 2017 The present study proposes a new hybrid evolutionary Adaptive Neuro-Fuzzy Inference Systems (ANFIS) approach for monthly streamflow forecasting. The proposed method is a novel combination of the ANFIS model with the algorithm as an optimizer tool to ...
Zaher Mundher Yaseen +2 more
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Modeling the electrical properties of heterojunctions using ANFIS, ANFIS-GA and ANFIS-PSO Models
Physica Scripta, 2023Abstract The present research introduces a theoretical study that aims to utilize ANFIS in estimating and predicting the electrical behavior of heterojunctions. For this purpose, five different heterojunctions were chosen. The experimental datasets that represent the electrical behavior of the chosen heterojunctions were extracted and ...
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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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Comparison of extreme-ANFIS and ANFIS networks for regression problems
2014 IEEE International Advance Computing Conference (IACC), 2014This paper compares the performance of conventional adaptive network based fuzzy inference system (ANFIS) network and extreme-ANFIS on regression problems. ANFIS networks incorporate the explicit knowledge of the fuzzy systems and learning capabilities of neural networks.
Pushpak Jagtap, G. N. Pillai
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Modified ANFIS architecture - improving efficiency of ANFIS technique
7th Seminar on Neural Network Applications in Electrical Engineering, 2004. NEUREL 2004. 2004, 2005Adaptive 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, 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.
Ali Emam +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), 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.
Hong Hui, Jianhua Li
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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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