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Using free-dynamics neural-network structures with context-dependent parameters for observation in inhomogeneous nonstationary media

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Radiophysics and Quantum Electronics Aims and scope

We discuss a classification of neural networks by their dynamics. The results of numerical analysis of the possibilities of using free-dynamics neuron-like structures with context-dependent parameters for adaptive observation in complex nonstationary media are presented. The efficiency of solution of such problems by using neuron-like structures compared with other conventional methods is analyzed.

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Authors and Affiliations

  1. Institute of Applied Physics of the Russian Academy of Sciences, Nizhny Novgorod, Russia

    A. G. Khobotov, A. I.Khil’ko & V. I.Romanova

Authors
  1. A. G. Khobotov
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  2. A. I.Khil’ko
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  3. V. I.Romanova
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Correspondence to A. I.Khil’ko.

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Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Radiofizika, Vol. 56, Nos. 2, pp. 104–123, February 2013.

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Khobotov, A.G., I.Khil’ko, A. & I.Romanova, V. Using free-dynamics neural-network structures with context-dependent parameters for observation in inhomogeneous nonstationary media. Radiophys Quantum El 56, 95–112 (2013). https://doi.org/10.1007/s11141-013-9419-z

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  • DOI: https://doi.org/10.1007/s11141-013-9419-z

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