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    IJON
    2007
    118views more  IJON 2007»
    Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm
    13 years 5 months ago
    Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm
    Download  web.mst.edu
    To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
    Xindi Cai, Nian Zhang, Ganesh K. Venayagamoorthy, ...
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    AMC
    2007
    154views more  AMC 2007»
    A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
    13 years 5 months ago
    A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
    Download  www.cse.cuhk.edu.hk
    The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
    Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
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    COR
    2006
    95views more  COR 2006»
    Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems
    13 years 5 months ago
    Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems
    Download  www.cs.bham.ac.uk
    In this paper we tackle the task assignment problem (TSAP) in heterogeneous computer systems. The TSAP consists of assigning a given distributed computer program formed by a numbe...
    Sancho Salcedo-Sanz, Yong Xu, Xin Yao
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    AUSAI
    2005
    Springer
    258views Artificial Intelligence» more  AUSAI 2005»
    Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum
    13 years 11 months ago
    Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum
    Download  eprints.utas.edu.au
    : In a canonical genetic algorithm, the reproduction operators (crossover and mutation) are random in nature. The direction of the search carried out by the GA system is driven pur...
    Luke Temby, Peter Vamplew, Adam Berry
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    IJCNN
    2000
    IEEE
    143views Neural Networks» more  IJCNN 2000»
    Global Optimization Algorithms for Training Product Unit Neural Networks
    13 years 10 months ago
    Global Optimization Algorithms for Training Product Unit Neural Networks
    Download  sci2s.ugr.es
    A. Ismail, Andries Petrus Engelbrecht
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