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Search results for: fuzzy network
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Year: 2022, Volume: 22, Number: 1
... by Perturb and observe (P &O) and Fuzzy Logic Control (FLC) algorithms. virtually impossible ... ," in "Promising MPPT methods combining metaheuristic, fuzzy-logic and 2019 21st International Middle East Power Systems Conference ... techniques for grid-connected photovoltaic," Sensors, vol. 21, (MEPCON), Cairo, Egypt, ...
Year: 2018, Volume: 18, Number: 1
... co-efficient [48] NC – AD GM Hybrid Neuro Fuzzy Runge-Kutta 90.9 Fractional Anisotropy [49] NC – ... facilitating the discovery of medial temporal lobe. Disruption of networks of functional proper therapies and medicines. Our proposed ... have been used with different image activation in the dispersed network of cortical regions, modalities and with different classifiers ...
Year: 2011, Volume: 11, Number: 3
... Improving Computer IV. CONCLUSION Based Speech Therapy Using a Fuzzy Expert System", in Computing The paper presented ... neural network as a classifier and language using Kohonen neural networks. The study focused we will compare the level ... ' consonant in Romanian paper we use the Kohonen neural network as a classifier and language using Kohonen neural networks ...
114. Comparison of Classification Algorithms for Detecting Patient Posture in Expandable Tumor Prostheses
Year: 2020, Volume: 20, Number: 2
... , Vector Machines (SVM), Bayesian filtering and fuzzy rule and the posture is determined. It is ... machine is determined as the polynomial regression, artificial neural networks, Support most successful technique. Then, the ... , particularly in microcontroller- communication using the IEEE 802.15.4 network protocol. based applications. With 128-bit encryption, ...
Year: 2020, Volume: 20, Number: 2
... 123, pp. 445-452, 2016, Intelligent& Fuzzy Systems, vol. 34, no. 4 ... forecast energy demand of Turkey," Energy artificial neural networks," Energy, vol. 35, no ... an important role in the economic and social artificial neural network (ANN). Ekonomou [10] have ...
116. Design of an Adaptive Flux Observer for Sensorless Switched Reluctance Motors Using Lyapunov Theory
Year: 2020, Volume: 20, Number: 2
... and experimental results of the networks (ANN), fuzzy logic have been employed [16-18]. proposed ... neural board. The simulation and experimental results of the networks (ANN), fuzzy logic have been employed ... ," IEEE switch-based switched reluctance motor drive using neural network," Transactions Power Electronics, vol. 34 ...
Year: 2021, Volume: 21, Number: 2
... numerical optimization: Past, present and future," PI-fuzzy controllers with a reduced process parametric sensitivity," ... , to easier solve ED problems, by using between networks. The method can achieve a global optimal our ... and with the generators. limits imposed by the transmission network. This problem, On the other hand, ...
Year: 2017, Volume: 17, Number: 4
... different techniques such as ant colony [36], fuzzy Centroid Linkage: (Figure 2d) Centroid linkage ... A new, fast and accurate combination scheme based on fuzzy-similarity relations," IEEE algorithm for hierarchical clustering on ... and Derivative Dynamic Time Warping (DDTW) summarization, network security [7 ], pattern recognition [8 ...
Year: 2012, Volume: 12, Number: 4
... Kladas, A.G., Stavrakakis, G.S., Fuzzy Logic Based Online Electromagnetic Loss Minimization of Permanent Magnet ... 2008, pp. 323-328. Transforms and Back-propagation Neural Networks, International Journal of Control, Automation, and ... , pp.423-426. tem by Using Strata Hierarchical Artificial Neural Network, Power and Energy Engineering Conf., APPEEC ...
Year: 2020, Volume: 20, Number: 1
... to minimize power loss in FAPSO [14]: Fuzzy adaptive particle swarm smart grids. The most commonly ... — In this study, a human immune system based networks and use automated, computation and wound healing algorithm ... Simulation results show that the actual power loss is the network to control and distribute energy. Thus it reduces ...
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