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    ISCI
    2008
    95views more  ISCI 2008»
    Modified constrained learning algorithms incorporating additional functional constraints into neural networks
    13 years 7 months ago
    Modified constrained learning algorithms incorporating additional functional constraints into neural networks
    Download  www.intelengine.cn
    In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
    Fei Han, Qing-Hua Ling, De-Shuang Huang
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    AMC
    2008
    86views more  AMC 2008»
    Numerical solution of stochastic Nash games with state-dependent noise for weakly coupled large-scale systems
    13 years 7 months ago
    Numerical solution of stochastic Nash games with state-dependent noise for weakly coupled large-scale systems
    Download  ir.lib.hiroshima-u.ac.jp
    This paper discusses the infinite horizon stochastic Nash games with state-dependent noise. After establishing the asymptotic structure along with the positive semidefiniteness for...
    Muneomi Sagara, Hiroaki Mukaidani, Toru Yamamoto
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    INFOCOM
    2007
    IEEE
    175views Communications» more  INFOCOM 2007»
    The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
    14 years 1 months ago
    The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
    Download  www.princeton.edu
    —The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
    Junshan Zhang, Dong Zheng, Mung Chiang
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    ENC
    2005
    IEEE
    107views Theoretical Computer Science» more  ENC 2005»
    Saving Evaluations in Differential Evolution for Constrained Optimization
    14 years 1 months ago
    Saving Evaluations in Differential Evolution for Constrained Optimization
    Download  www.lania.mx
    Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
    Efrén Mezura-Montes, Carlos A. Coello Coell...
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    WSC
    2008
    121views Modeling And Simulation» more  WSC 2008»
    Discrete stochastic optimization using linear interpolation
    13 years 10 months ago
    Discrete stochastic optimization using linear interpolation
    Download  www.informs-sim.org
    We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
    Honggang Wang, Bruce W. Schmeiser
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