On neural networks
Jiří Beneš (1990)
Kybernetika
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Jiří Beneš (1990)
Kybernetika
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Malyshev, V.A., Spieksma, F.M. (1997)
Mathematical Physics Electronic Journal [electronic only]
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Margaris, Athanasios, Kotsialos, Efthymios, Styliadis, Athansios, Roumeliotis, Manos (2004)
Acta Universitatis Apulensis. Mathematics - Informatics
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Ahn, Choon Ki (2010)
Discrete Dynamics in Nature and Society
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Piotr Szymczyk, Sylwia Tomecka-Suchoń, Magdalena Szymczyk (2015)
International Journal of Applied Mathematics and Computer Science
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In this article a new neural network based method for automatic classification of ground penetrating radar (GPR) traces is proposed. The presented approach is based on a new representation of GPR signals by polynomials approximation. The coefficients of the polynomial (the feature vector) are neural network inputs for automatic classification of a special kind of geologic structure-a sinkhole. The analysis and results show that the classifier can effectively distinguish sinkholes from...
Joldeş, Remus, Ileană, Ioan, Olteanu, Emil (2003)
Acta Universitatis Apulensis. Mathematics - Informatics
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Duan, Chengjun, Song, Qiankun (2010)
Discrete Dynamics in Nature and Society
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Jalab, H.A., Ibrahim, R.W. (2009)
Surveys in Mathematics and its Applications
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Buffalov, S.A. (1999)
Discrete Dynamics in Nature and Society
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O. Ávila Åkerberg, M. J. Chacron (2010)
Mathematical Modelling of Natural Phenomena
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The interplay between intrinsic and network dynamics has been the focus of many investigations. Here we use a combination of theoretical and numerical approaches to study the effects of delayed global feedback on the information transmission properties of neural networks. Specifically, we compare networks of neurons that display intrinsic interspike interval correlations (nonrenewal) to networks that do not (renewal). We find that excitatory...
Olteanu, Emil, Joldeş, Remus, Rotar, Corina (2004)
Acta Universitatis Apulensis. Mathematics - Informatics
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