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Titlebook: Advances in Neural Networks: Computational and Theoretical Issues; Simone Bassis,Anna Esposito,Francesco Carlo Morabi Book 2015 Springer I

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André C. M. Ran,Jan H. van Schuppene problem at hand. Finally, the choice of the classification scheme can impact on the achieved results. This introductive chapter summarizes the efforts that have been made in the field of neural network models along the above mentioned research directions through the contents of the chapters includ
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Pier-Giorgio Zanone,Viviane Kostrubiecs that, by combining pruning of neurons and synapses, we are able to obtain an optimally sparse ESN in an efficient way. In addition, we briefly investigate the resulting reservoir’s topologies deriving from the application of our procedure.
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Davide Basile,Maurice H. ter Beekroposed to perform the clustering of impedance tensors, computed on a Discrete Wavelet (DW) expansion of MT recordings. The use of the DW transform is motivated by the need of analyzing MT recordings both in time and frequency domain. The SOM is principally tested on synthetic dataset. Then, as a fu
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Advances in Neural Networks: Computational and Theoretical Issues978-3-319-18164-6Series ISSN 2190-3018 Series E-ISSN 2190-3026
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Ferruccio Damiani,Ornela Dardharesented. The proposed metod is based on binaural source localization followed by face recognition and tracking and was realized and implemented in a real environment. Some preliminary results demonstrated the effectiveness of this approach.
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