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Search results for: fuzzy network
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Year: 2010, Volume: 10, Issue: 3
... or methods under various torque demands without employing a sensor. including Kalman filters, fuzzy logic, and neural network The proposed system performs very well for a sensorless ... to obtain the rotor position angle [10], [11]. operation and effectively eliminates the harmonics due to the LP filter. Recently, researchers have ...
Year: 2017, Volume: 17, Number: 4
... 107, Springer Press, New York, AC Transmission System Devices Using an Evolutionary Fuzzy 2016. doi: 10.1007/978-1-4899-7696-3 Lead-Lag Controller With Advanced Continuous Ant Colony ... A new criterion for determining the location of a TCPS V1 V2 in the transmission network is defined. Line ï€ 1 The rest of this paper is organized as ...
Year: 2020, Volume: 20, Number: 2
... Xu, H. Liu, and D. Chen, "A heuristic TS fuzzy compared by using different selection methods through model for the pumped-storage generator-motor using variable-length ... , 2018. doi:10.1016/j.asoc.2017.12.026 Proc. IEEE International Conference on Neural Networks, Perth, [21] A. BeÅŸkirli, D. Ã-zdemir, ...
Year: 2018, Volume: 18, Number: 1
... . A. H. Sadi and M. H. Ali, "A fuzzy logic controlled bridge type [43] S. M. Baek and J ... with real time digital simulator (RTDS) units excites the instability of the utility network [19]. A and dSPACE. Another significant feature of this work ...
Year: 2018, Volume: 18, Number: 2
... . Klempka, and B. Filipowicz, "Comparison of using the Genetic Kang fuzzy models for Anti-lock Braking Systems," Appl. Soft Algorithm and Cuckoo Search ... in the paper is a class E inverter. Algorithm [21], Neural Network [22] and others. It is described in literature, especially in ...
Year: 2008, Volume: 8, Issue: 1
... logical rules, decision fields that are the inputs to the models and trees, fuzzy rules, Bayesian belief networks, and artificial specifies the type and value range ... each field. neural networks. The ways in which the knowledge can be formulated are called models (and sometimes classifiers or • Mining Schema. Each model contains ...
Year: 2021, Volume: 21, Number: 1
... influence (MFTCI) has been addressed in [10] by graph-theoretic, and fuzzy techniques in recommender representing students and courses in a latent knowledge systems. However ... E. Gallopoulos, J. D. Garofalakis of using Long Short Term Memory networks in adaptive "EigenRec: generalizing PureSVD for effective and efficient top-N recommendations, ...
Year: 2010, Volume: 10, Issue: 3
... C. DiniÅŸ, and I. Popa, "Comparative Study Reluctance Motor Using Fuzzy Sliding Mode", Advances in Electrical of the Methods for Starting-Up the Induction ... widely in industrial applications and power characteristic the influence of the initial voltage was also network systems have caused significant inherent problems, evaluated. such as generation of reactive ...
Year: 2020, Volume: 20, Number: 4
... 24] for the MEED II. ECONOMIC AND EMISSION DISPATCH PROBLEM problem. A fuzzy clustering-based Particle Swarm (FCPSO) FORMULATION algorithm, which handles the size of ... Syst., vol. 25, pp. 1064 – 1077, 2010. Networks Perth, WA, Australia, pp. 1942-1948, 1995. doi: ...
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... . Ohtake, K. Tanaka, and H. O. Wang, "Fuzzy modeling via sector Eng., vol. 6, no. 2, ... X. Hou et al., "Distributed hierarchical control of AC microgrid Grids Networks, vol. 27, p. 100496, Sep. 2021. operating ...
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