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Browsing by Autor "Giovanni E. Pazienza"

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    New properties of 2D Cellular Automata found through Polynomial Cellular Neural Networks
    (2009) Giovanni E. Pazienza; E. Gómez-Ramı́rez
    In this paper we show how polynomial cellular neural networks can be used to find new properties of two-dimensional binary cellular automata (CA). In particular, we define formally a complexity index for totalistic and semi-totalistic CA, and we discuss on the intrinsic complexity of universal CA finding a surprising result: universal rules are slightly more complex than linearly separable ones.
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    Polynomial Cellular Neural Networks for Implementing the Game of Life
    (Springer Science+Business Media, 2007) Giovanni E. Pazienza; E. Gómez-Ramı́rez; X. Vilasís-Cardona
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    The Game of Life Using Polynomial Discrete Time Cellular Neural Networks
    (Springer Nature, 2007) E. Gómez-Ramı́rez; Giovanni E. Pazienza
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    Training Cellular Neural Networks with Stable Learning Algorithm
    (Springer Science+Business Media, 2006) Marco A. Moreno-Armendáriz; Giovanni E. Pazienza; Wen Yu

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