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    NECO
    2002
    45views more  NECO 2002»
    Universal Approximation of Multiple Nonlinear Operators by Neural Networks
    13 years 4 months ago
    Universal Approximation of Multiple Nonlinear Operators by Neural Networks
    Download  andrewback.com
    Andrew D. Back, Tianping Chen
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    EUSFLAT
    2009
    245views Fuzzy Logic» more  EUSFLAT 2009»
    Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
    13 years 3 months ago
    Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
    Download  www.eusflat.org
    Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
    Juan R. Castro, Oscar Castillo, Patricia Melin, An...
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    TSMC
    1998
    135views more  TSMC 1998»
    Universal stabilization using control Lyapunov functions, adaptive derivative feedback, and neural network approximators
    13 years 4 months ago
    Universal stabilization using control Lyapunov functions, adaptive derivative feedback, and neural network approximators
    Download  www.dssl.tuc.gr
    — In this paper, the problem of stabilization of unknown nonlinear dynamical systems is considered. An adaptive feedback law is constructed that is based on the switching adaptiv...
    Elias B. Kosmatopoulos
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    NN
    2008
    Springer
    158views Neural Networks» more  NN 2008»
    Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and
    13 years 5 months ago
    Optimal wide-area monitoring and nonlinear adaptive coordinating neurocontrol of a power system with wind power integration and
    Download  web.mst.edu
    Wide-area coordinating control is becoming an important issue and a challenging problem in the power industry. This paper proposes a novel optimal wide-area coordinating neurocont...
    Wei Qiao, Ganesh K. Venayagamoorthy, Ronald G. Har...
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    JMLR
    2008
    188views more  JMLR 2008»
    Maximal Causes for Non-linear Component Extraction
    13 years 4 months ago
    Maximal Causes for Non-linear Component Extraction
    Download  www.gatsby.ucl.ac.uk
    We study a generative model in which hidden causes combine competitively to produce observations. Multiple active causes combine to determine the value of an observed variable thr...
    Jörg Lücke, Maneesh Sahani
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