Results 21 to 30 of about 512,360 (288)
Algorithms, 2020 In Model Predictive Control (MPC) algorithms, control signals are generated after solving optimization problems. If the model used for prediction is linear then the optimization problem is a standard, easy to solve, quadratic programming problem with ...
Piotr M. Marusak
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Fuzzy Contrast Enhancement System with Multiple Transform Domain Operations
Advances in Electrical and Computer Engineering, 2021 Medical images provide an excellent way to identify the presence of diseases in a highly acceptable and correct manner. These images, however, due to the physical limitations of imaging instruments, have various types of artifacts.
JAVID, T., ABID, M.
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A Hybrid Cascade Neuro–Fuzzy Network with Pools of Extended Neo–Fuzzy Neurons and its Deep Learning
International Journal of Applied Mathematics and Computer Science, 2019 This research contribution instantiates a framework of a hybrid cascade neural network based on the application of a specific sort of neo-fuzzy elements and a new peculiar adaptive training rule.
Bodyanskiy Yevgeniy V. +1 more
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Fuzzy games with a countable space of actions and applications to systems of generalized quasi-variational inequalities [PDF]
, 2013 In this paper, we introduce an abstract fuzzy economy (generalized fuzzy game) model with a countable space of actions and we study the existence of the fuzzy equilibrium. As applications, two types of results are obtained.
Patriche, Monica
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Integrative Medicine ReportsIntroduction: During the luteal phase, women often experience various physical and mental symptoms related to irregularities in the autonomic nervous system. Aromatherapy has been reported to alleviate these symptoms and regulate autonomic nervous system
Naoko Kouzuma, Tomomi Yamakawa
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Using Fuzzy Inference Systems for the Creation of Forex Market Predictive Models
IEEE Access, 2021 This paper presents a method for creating Forex market predictive models using multi-agent and fuzzy systems, which have the objective of simulating the interactions that provoke changes in the price. Agents in the system represent traders performing buy
Amaury Hernandez-Aguila +4 more
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The World of Combinatorial Fuzzy Problems and the Efficiency of Fuzzy Approximation Algorithms
, 2015 We re-examine a practical aspect of combinatorial fuzzy problems of various types, including search, counting, optimization, and decision problems. We are focused only on those fuzzy problems that take series of fuzzy input objects and produce fuzzy ...
Yamakami, Tomoyuki
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Fuzzy H-infinity output feedback control of nonlinear systems under sampled measurements [PDF]
, 2003 This paper studies the problem of designing an H∞ fuzzy feedback control for a class of nonlinear systems described by a continuous-time fuzzy system model under sampled output measurements.
Bamieh +15 more
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Scholarpedia, 2008 Fuzzy Sets and Fuzzy Logic were introduced by Lotfi Zadeh in 1965 in his seminal paper [71]. During the last decade of the previous century there was an increase of the various applications of fuzzy logic-based systems mainly due to the introduction of fuzzy logic controllers (FLC) by Ebrahim Mamdani in 1975 [54], the introduction of the fuzzily ...
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Comparison of different strategies of utilizing fuzzy clustering in structure identification [PDF]
, 2007 Fuzzy systems approximate highly nonlinear systems by means of fuzzy "if-then" rules. In the literature, various algorithms are proposed for mining. These algorithms commonly utilize fuzzy clustering in structure identification.
Kılıç, Kemal +2 more
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