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Search results for: fuzzy network
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Year: 2010, Volume: 10, Issue: 3
... network frequency was tracked for rule database that operated with fuzzy numbers was HIF detection. In [195] ... mother wavelet on the detection performance. C. The Neuro-Fuzzy Network In [190], phase displacement between ... used for feature extraction/selection of fault composed of 'neo-fuzzy' neurons, was trained to recognize current signal ...
Year: 2013, Volume: 13, Number: 3
... high voltage grey relational grade (GRG) in which fuzzy logic is used to power systems involves elucidating the ... , Torr, and relative humidity (% ), fuzzy-based methods, the curve fitting method, and the ... Number 3, 2013 Estimating Probability of Gas Breakdown Using Grey-Fuzzy Logic Meng-Jen CHEN1, Yu-Chi WU2*, Kun-Li ...
Year: 2017, Volume: 17, Number: 1
... of the popular neuro-fuzzy methods that is Index Terms €” fuzzy neural networks, adaptive control, gain the hybrid ... . Jiang, L. Hongfei, "An adaptive neural-fuzzy inference post-transmission digital equalization", in Proc. ... Computer Engineering Volume 17, Number 1, 2017 Adaptive Neuro-Fuzzy Based Gain Controller for Erbium-Doped Fiber Amplifiers Murat YUCEL1 ...
Year: 2014, Volume: 14, Number: 1
... for cache access patterns Index Terms €” cache memory, fuzzy neural networks, with a filtering effect. Furthermore ... Computer Engineering Volume 14, Number 1, 2014 Adaptive Neuro-fuzzy Inference System as Cache Memory Replacement Policy Yee Ming ... Available: http://dx.doi.org/10.1109/FUZZY.1996.551797 [10] W. Ali and S. ...
Year: 2012, Volume: 12, Number: 3
... property stability, Adaptive Neurofuzzy control, Wavelet neural of fuzzy logic systems and with the learning capability of network ... Engineering Volume 12, Number 3, 2012 Nonlinear Adaptive NeuroFuzzy Wavelet Based Damping Control Paradigm for SSSC Rabiah BADAR ... its hidden layer. Fig. 3 shows the Adaptive NeroFuzzy Wavelet Network (ANFWN) architecture. The the ...
Year: 2021, Volume: 21, Number: 2
... Volume 21, Number 2, 2021 Adaptive Interval Type-2 Fuzzy Controller Based Direct Torque Control of Permanent Magnet Synchronous ... Seok Kang, Yong-Tae Kim, Chang-Ho Hyun, type-2 neuro-fuzzy control of an induction motor," Expert Systems ... pp. 1534-1539, 1999. doi:10.1109/FUZZY.1999.790132 [12] A. Saidi, F. ...
Year: 2013, Volume: 13, Number: 1
... 13, Number 1, 2013 Parkinson's disease Assessment using Fuzzy Expert System and Nonlinear Dynamics Oana GEMAN, Corneliu-Octavian ... = 0.67. MATLAB is assigned as ANFIS (Adaptive Neuro-Fuzzy 82 =min(Old Age, Medium ... , Medium Inference System). By using a given input or output data set, Frequency, High Lyapunov ...
Year: 2023, Volume: 23, Number: 1
... 2023 HTBT: A Hybrid DASH Adaptation Algorithm Using Takagi-Sugeno-Kang Fuzzy Model Radenko BANOVIC1, Dragan KUKOLJ1,2, ... D. Hossain, E. N. Huh, "Fuzzy-based quality Systems, Man, and Cybernetics, Part ... (Cybernetics), vol. 34, no. 1, adaptation algorithm for improving QoE from MPEG-DASH video ...
Year: 2022, Volume: 22, Number: 4
... centered on developing analysis (PCA) and adaptive neuro fuzzy inference system classifier (ANFIS) preprocessed by K-means ... ,Œ, P (6) C. Adaptive Neuro-Fuzzy Classifier The matrix constituted by the eigenvectors of Cx ... 1) Adaptive Neuro-Fuzzy Classifier Concept expressed as: The adaptive neuro-fuzzy inference system (ANFIS) is a V ...
Year: 2021, Volume: 21, Number: 1
... and Computer Engineering Volume 21, Number 1, 2021 Fuzzy Contrast Enhancement System with Multiple Transform Domain Operations Tariq ... ) Χ Χ Χ Χ Χ Χ and implementing a fuzzy-based contrast enhancement on (d) Χ Χ Χ ... Χ Χ (e) Χ Χ Χ Χ Χ Χ the fused output image. Both objective and subjective ...
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