Abstract
The features of recurrent neural networks with controlled elements are considered. The functions of these networks for controlled associative processing of signals are refined. A number of the space-time structures of such networks are analyzed. Among them, the neural networks with one-, two-, and three-level structures of layers are investigated. The results of studies on the stability of the associative processing of distorted signals by these networks are reflected. Based on the simulation results, recommendations are formulated to expand the possibilities of associative signal processing in recurrent neural networks with controlled elements.
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References
Haykin, S.: Neural Networks and Learning Machines, 3rd edn. Prentice Hall, New-York (2008)
Galushkin, A.I.: Neural Networks Theory. Springer, Berlin Heidelberg (2007). https://doi.org/10.1007/978-3-540-48125-6
Hopfield, J.J.: Neural networks and physical systems with emergent collective computational abilities. Proc. Nat. Acad. Sci. USA 79(8), 2554–2558 (1982)
Kosko, B.: Bidirectional associative memories. IEEE Trans. Syst. Man Cybern. 18(1), 49–60 (1988)
Hawkins, J., Blakeslee, S.: On Intelligence. Brown Walker (2006)
Palm, G.: Neural associative memories and sparse coding. Neural Networks 37, 165–171 (2013)
Osipov, V.Y.: Associative intellectual machine. Inf. Technol. Comput. Mach. 2, 59–67 (2010)
Osipov, V., Osipova, M.: Method and device of intellectual processing of information in neural network. RU Patent No 2413304 (2011)
Osipov, V.: Space-time structures of recurrent neural networks with controlled synapses. In: Cheng, L., Liu, Q., Ronzhin, A. (eds.) ISNN 2016. LNCS, vol. 9719, pp. 177–184. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40663-3_21
Osipov, V.: Structure and basic functions of cognitive neural network machine. In: 12th International Scientific-Technical Conference on Electromechanics and Robotics, Zavalishin’s Readings, pp. 1–5 (2017)
Osipov, V., Nikiforov, V.: Formal aspects of streaming recurrent neural networks. In: Huang, T., Lv, J., Sun, C., Tuzikov, Alexander V. (eds.) ISNN 2018. LNCS, vol. 10878, pp. 29–36. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92537-0_4
Osipov, V., Osipova, M.: Space-time signal binding in recurrent neural networks with controlled elements. Neurocomputing 308, 194–204 (2018)
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This research is partially supported by the RFBR foundation grant No 16-29-09482.
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Osipov, V., Nikiforov, V. (2019). Functional and Structural Features of Recurrent Neural Networks with Controlled Elements. In: Lu, H., Tang, H., Wang, Z. (eds) Advances in Neural Networks – ISNN 2019. ISNN 2019. Lecture Notes in Computer Science(), vol 11554. Springer, Cham. https://doi.org/10.1007/978-3-030-22796-8_15
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DOI: https://doi.org/10.1007/978-3-030-22796-8_15
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