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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: 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 ï¡ 82 =min(Old Age, Medium ... , Medium Inference System). By using a given input or output data set, Frequency, High Lyapunov ...
Year: 2011, Volume: 11, Number: 4
... in [20]. here, an Adaptive Network-Based Fuzzy Inference Systems Input (ANFIS) classifier is used ... for recognition feature extraction is necessary to fully exploit a neuro-fuzzy of objects exhibiting a sufficient amount of texture. ... ANFIS is Segmented Image motivated by the fact that neural networks are well known Robust Object Segmentation as an alternative ...
Year: 2015, Volume: 15, Number: 1
... /4 switched reluctance motor 6000 RPM using adaptive neural fuzzy inference system," IEEE Trans. Specifics Simulation ... network (ANN) [9-11] or dt adaptive neural-fuzzy inference system (ANFIS) [12-13] to ... 41.07 4.72% estimation for switched reluctance motor using adaptive neuro-fuzzy Output Power (W) 1838 2003 8.23% ...
Year: 2018, Volume: 18, Number: 1
... and Computer Engineering Volume 18, Number 1, 2018 Fuzzy Integral and Cuckoo Search Based Classifier Fusion for Human ... multiple classifiers, an integral operator combines the Algorithm: fuzzyfusion(G, M, A) information from ... 19]. In this work, the g ï¬ -fuzzy 1. Calculate ï¬ 2. for each class ...
Year: 2020, Volume: 20, Number: 2
... out as extensions of this work are: analysis using fuzzy modeling to represent inaccurate data, including more optimistic ... Firefly Algorithm Based Optimization Model for Planning of Optical Transport Networks Bruno Quirino de OLIVEIRA1,2, Marcos Antônio ... in order to meet the new traffic requirements. Under network becomes more complex, the efficient use of its ...
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