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Generalization of adaptive neuro-fuzzy inference systems
IEEE Transactions on Neural Networks, 2000The paper aims at several objectives. The adaptive network-based fuzzy inference systems (ANFIS) of Jang is extended to the generalized ANFIS (GANFIS) by proposing a generalized fuzzy model (GFM) and considering a generalized radial basis function (GRBF) network.
M F, Azeem, M, Hanmandlu, N, Ahmad
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Seizure prediction using adaptive neuro-fuzzy inference system
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013In this study, we present a neuro-fuzzy approach of seizure prediction from invasive Electroencephalogram (EEG) by applying adaptive neuro-fuzzy inference system (ANFIS). Three nonlinear seizure predictive features were extracted from a patient's data obtained from the European Epilepsy Database, one of the most comprehensive EEG database for epilepsy ...
Ahmed F, Rabbi +2 more
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Adaptive Neuro-Fuzzy Inference System Based Impulse Denoising
Journal of Computational and Theoretical Nanoscience, 2020Removing impulse noise from images is a critical issue in image processing because it may occur frequently during acquisition or transmission of images. We propose an anfis based impulse denoising algorithm to preserve the intrinsic geometric details of an image. The main target of this project is to restore the features of an image without losing any
S. K. Jayasri, V. Poongodi
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Adaptive Neuro-Fuzzy Inference System in Agriculture
2020This chapter emphasizes the use of adaptive fuzzy inference system (ANFIS) in agriculture. An overview of the basic concepts of ANFIS is provided at the beginning, where the underlying architecture of ANFIS is also discussed. The introduction is followed by the second section which highlights the diverse applications of ANFIS in agriculture during ...
K. Aditya Shastry, null Sanjay H. A.
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Nonlinear system modeling with dynamic adaptive neuro-fuzzy inference system
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014This paper introduces the architecture and learning procedure of dynamic adaptive neuro-fuzzy inference system (DANFIS) for nonlinear dynamical system modeling. In our DANIS model, IF part of the rules are comprised of Gaussian type membership functions and THEN part of the rules are differential equations of linear functions.
Yılmaz, Sevcan, Oysal, Yusuf
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Improved adaptive neuro-fuzzy inference system
Neural Computing and Applications, 2011This paper introduces a new type of Adaptive Neuro-fuzzy System, denoted as IANFIS (Improved Adaptive Neuro-fuszzy Inference System). The new structure is realized by the insertion of the error of training of ANFIS in the third layer of this system. The recurrence of the error of training will increase the capability of convergence and the robustness ...
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Hysteresis Modeling with Adaptive Neuro-Fuzzy Inference System
Ferroelectrics, 2008The accurate characterization and modeling of magnetic material are critical in simulating the performance analysis of electrical circuits incorporating magnetic components. In this study, a new approach for modeling hysteresis loop of ferromagnetic material based on adaptive neuro-fuzzy inference system (ANFIS) was presented.
M. Mordjaoui +3 more
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Geoacoustic inversion using adaptive neuro-fuzzy inference system
Computational Geosciences, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yegireddi, Satyanarayana, Kumar, Arvind
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