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    IJCSA
    2007
    100views more  IJCSA 2007»
    Using Artificial Neural networks for the modelling of a distillation column
    13 years 7 months ago
    Using Artificial Neural networks for the modelling of a distillation column
    Download  www.tmrfindia.org
    The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
    Yahya Chetouani
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    IJON
    2007
    120views more  IJON 2007»
    Comparison of dynamical states of random networks with human EEG
    13 years 7 months ago
    Comparison of dynamical states of random networks with human EEG
    Download  material.brainworks.uni-freiburg.de
    Existing models of EEG have mainly focused on relations to network dynamics characterized by firing rates [L. de Arcangelis, H.J. Herrmann, C. Perrone-Capano, Activity-dependent ...
    Ralph Meier, Arvind Kumar, Andreas Schulze-Bonhage...
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    BIB
    2008
    109views more  BIB 2008»
    Computational intelligence approaches for pattern discovery in biological systems
    13 years 7 months ago
    Computational intelligence approaches for pattern discovery in biological systems
    Download  65.44.200.132
    Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...
    Gary B. Fogel
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    DAGSTUHL
    2009
    144views Software Engineering» more  DAGSTUHL 2009»
    Statistical Mechanics of On-line Learning
    13 years 8 months ago
    Statistical Mechanics of On-line Learning
    Download  www.cs.rug.nl
    We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
    Michael Biehl, Nestor Caticha, Peter Riegler
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    CEC
    2003
    IEEE
    166views Artificial Intelligence» more  CEC 2003»
    Stochastic neural network models for gene regulatory networks
    14 years 25 days ago
    Stochastic neural network models for gene regulatory networks
    Download  maths.uq.edu.au
    AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...
    Tianhai Tian, Kevin Burrage
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