Search Results - fuzzy/neural approximators
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Authors: et al.
Source: Nonlinear Dynamics. 97:1567-1580
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2
Authors: et al.
Source: Proceedings of the 2019 4th International Conference on Automation, Control and Robotics Engineering. :1-6
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Petri type 2 fuzzy neural networks approximator for adaptive control of uncertain non‐linear systems
Authors:
Source: IET Control Theory & Applications. 11:3130-3136
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4
Authors: et al.
Contributors: et al.
Source: Fuzzy Sets and Systems. 148:469-486
Subject Terms: 0209 industrial biotechnology, Learning and adaptive systems in artificial intelligence, Fuzzy systems, Fuzzy neural network -- Approximation -- Terminal sliding mode -- Gradient descent learning -- Finite time convergence, 02 engineering and technology, Gradient descent learning, TBA, Neural computers, Finite time convergence, Neural networks (Computer science), Terminal sliding mode, Lyapunov stability, 0202 electrical engineering, electronic engineering, information engineering, Fuzzy neural network, Journal Article. Refereed, Scholarly Journal, Approximation
File Description: application/xml
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Authors: et al.
Source: 2008 7th World Congress on Intelligent Control and Automation. :4736-4740
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Authors:
Source: Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan). 1:721-724
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Access URL: https://ieeexplore.ieee.org/document/714015/
https://meiji.elsevierpure.com/en/publications/are-regular-fuzzy -neural -nets-universal-approximators -
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Authors:
Source: Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference. :238-243
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Authors:
Source: Journal of Electrical Systems. Jun2019, Vol. 15 Issue 2, p181-196. 16p.
Subject Terms: *FUZZY neural networks, *UNCERTAIN systems, *NONLINEAR systems, *ADAPTIVE fuzzy control
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Authors: Peter Vas
Source: Artificial-Intelligence-Based Electrical Machines and Drives ISBN: 9780198593973
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Authors:
Source: Journal of Electrical Systems, Vol 15, Iss 2, Pp 181-196 (2019)
Subject Terms: fuzzy systems (fs), neural networks (nn), fuzzy wavelet neural networks (fwnn), petri fuzzy systems (pfs), petri fuzzy type 2 neural networks (pt2fnn), wavelet neural networks (wnn), direct and indirect adaptive control, lyapunov stability, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
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11
Authors: et al.
Source: Sustainability, Vol 14, Iss 7967, p 7967 (2022)
Subject Terms: synergetic control (SC) law, fuzzy neural network (FNN) approximator, fast terminal synergetic controller (FTSC), finite-time convergence, DC/DC buck converter, Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350
Relation: https://www.mdpi.com/2071-1050/14/13/7967; https://doaj.org/toc/2071-1050; https://doaj.org/article/9e3e8617309047e69897b4cb2e14ccc4
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Authors:
Source: ISA Transactions. Sep2022:Part B, Vol. 128, p68-80. 13p.
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Authors: Puyin Liu
Source: Fuzzy Sets and Systems. 119:313-320
Subject Terms: Fuzzy control/observation systems, 0202 electrical engineering, electronic engineering, information engineering, fuzzy neural networks, universal approximator, 02 engineering and technology, Neural networks for/in biological studies, artificial life and related topics, Approximation by other special function classes, fuzzy-valued functions
File Description: application/xml
Access URL: https://zbmath.org/1593972
https://doi.org/10.1016/s0165-0114(99)00132-3 -
14
Authors: Liu Puyin
Source: Applied Mathematics-A Journal of Chinese Universities. 16:45-57
Subject Terms: cut-preserving fuzzy mapping, continuous fuzzy functions, multivariate Bernstein polynomials, 0202 electrical engineering, electronic engineering, information engineering, Fuzzy functional analysis, 02 engineering and technology, universal approximators fuzzy valued Bernstein polynomials, Neural networks for/in biological studies, artificial life and related topics, four-layer feedforward regular fuzzy neural networks
File Description: application/xml
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15
Authors: Puyin Liu
Source: Fuzzy Sets and Systems. 130:109-123
Subject Terms: Computing methodologies and applications, Universal approximator, Filter, Learning and adaptive systems in artificial intelligence, 0202 electrical engineering, electronic engineering, information engineering, Fuzzy neural network, 02 engineering and technology, Computing methodologies for image processing, Digital image
File Description: application/xml
Access URL: https://zbmath.org/1864827
https://doi.org/10.1016/s0165-0114(01)00238-x
http://www.sciencedirect.com/science/article/pii/S016501140100238X
https://dblp.uni-trier.de/db/journals/fss/fss130.html#Liu02
https://www.sciencedirect.com/science/article/pii/S016501140100238X#!
https://www.sciencedirect.com/science/article/pii/S016501140100238X -
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Contributors:
File Description: application/postscript
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Authors:
Source: Yu, S, Yu, X & Man, Z 2002, 'A fuzzy neural network approximator with fast terminal sliding mode and its applications', paper presented at 9th International Conference on Neural Information Processing, Singapore.
Subject Terms: Neural networks (Computer science), TBA, Neural computers, Fuzzy systems, Lyapunov stability, Fuzzy neural network -- Approximation -- Terminal sliding mode -- Gradient descent learning -- Finite time convergence
Relation: Proceedings of the 9th international conference on neural information processing (ICONIP'02), Vol. 3 / Lipo Wang, Jagath C. Rajapakse, Kunihiko Fukushima, Soo-Young Lee and Xin Yao, editors. Singapore : IEEE Service Center, 2002. p. 1257-1261 5 pages Refereed 9810475241; ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.; cqu:1721; http://hdl.cqu.edu.au/10018/2869
Availability: http://hdl.cqu.edu.au/10018/2869
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Authors:
Source: Applied Sciences (2076-3417); May2025, Vol. 15 Issue 10, p5540, 36p
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Authors: et al.
Source: Nonlinear Dynamics; Jul2019, Vol. 97 Issue 2, p1567-1580, 14p
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Authors:
Source: IET Control Theory & Applications (Wiley-Blackwell); 2017, Vol. 11 Issue 17, p3130-3136, 7p
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