Mostrando ítems 121-125 de 193

    • Computational models of neuron-astrocyte interactions lead to improved efficacy in the performance of neural networks 

      Alvarellos, Alberto; Pazos, A.; Porto-Pazos, Ana B. (Hindawi, 2012)
      [Abstract] The importance of astrocytes, one part of the glial system, for information processing in the brain has recently been demonstrated. Regarding information processing in multilayer connectionist systems, it has ...
    • MIANN models in medicinal, physical and organic chemistry 

      González-Díaz, Humberto; Arrasate, Sonia; Sotomayor, Nuria; Lete, Esther; Munteanu, Cristian-Robert; Pazos, A.; Besada-Porto, Lina; Ruso, Juan M. (Bentham, 2013)
      [Abstract] Reducing costs in terms of time, animal sacrifice, and material resources with computational methods has become a promising goal in Medicinal, Biological, Physical and Organic Chemistry. There are many computational ...
    • Classification of Signals by Means of Genetic Programming 

      Fernández-Blanco, Enrique; Rivero, Daniel; Gestal, M.; Dorado, Julián (Springer, 2013-03-30)
      [Abstract] This paper describes a new technique for signal classification by means of Genetic Programming (GP). The novelty of this technique is that no prior knowledge of the signals is needed to extract the features. ...
    • He–, Ne–, and Ar–phosgene intermolecular potential energy surfaces 

      Munteanu, Cristian-Robert; Henriksen, Christian; Felker, Peter M.; Fernández, Berta (ACS Publications, 2013-04-12)
      [Abstract] Using the CCSD(T) model, we evaluated the intermolecular potential energy surfaces of the He–, Ne–, and Ar–phosgene complexes. We considered a representative number of intermolecular geometries for which we ...
    • Using Genetic Algorithms for Automatic Recurrent ANN Development: an Application to EEG Signal Classification 

      Rivero, Daniel; Aguiar-Pulido, Vanessa; Fernández-Blanco, Enrique; Gestal, M. (Inderscience, 2013)
      [Abstract] ANNs are one of the most successful learning systems. For this reason, many techniques have been published that allow the obtaining of feed-forward networks. However, fe w ...