Enhancing aircraft crack repair efficiency through novel optimization of piezoelectric actuator parameters: A design of experiments and adaptive neuro-fuzzy inference system approach. [PDF]
HeliyonAabid A +3 more
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Comparative assessment of deep belief network and hybrid adaptive neuro-fuzzy inference system model based on a meta-heuristic optimization algorithm for precise predictions of the potential evapotranspiration. [PDF]
Environ Sci Pollut Res IntAkiner ME, Ghasri M.
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FLOOD FORECASTING USING ADAPTIVE NEURO FUZZY INFERENCE SYSTEM
International Journal of Advance Engineering and Research Development, 2017 openaire +1 more source
Optimization of ultrasound-assisted extraction of bioactive chemicals from Hemidesmus indicus (L.) R.Br. using response surface methodology and adaptive neuro-fuzzy inference system. [PDF]
Food Sci BiotechnolVellur S +7 more
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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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FANCFIS: Fast adaptive neuro-complex fuzzy inference system
International Journal of Approximate Reasoning, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yazdanbakhsh, Omolbanin, Dick, Scott
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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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