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Speeding Up Back-Propagation Using Multiobjective Evolutionary Algorithms (2003)  (Make Corrections)  (4 citations)
H.A. Abbass



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Abstract: this paper is to present an optimization algorithm, comprising a multiobjective evolutionary algorithm and a gradient--based local search. In the rest of the paper, this is referred to as memetic Pareto artificial neural network (MPANN) algorithm for training ANNs. The evolutionary approach is used to simultaneously train the network and optimize its architecture. The result is a set of networks, with each network in the set attempts to optimize both the training error and the architecture. We... (Update)

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BibTeX entry:   (Update)

Hussein A. Abbass. Speeding up back-propagation using multiobjective evolutionary algorithms. Neural Computation (Accepted to appear), 2003. http://citeseer.ist.psu.edu/abbass03speeding.html   More

@misc{ abbass03speeding,
  author = "H. Abbass",
  title = "Speeding up back-propagation using multiobjective evolutionary algorithms",
  text = "Hussein A. Abbass. Speeding up back-propagation using multiobjective evolutionary
    algorithms. Neural Computation (Accepted to appear), 2003.",
  year = "2003",
  url = "citeseer.ist.psu.edu/abbass03speeding.html" }
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