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Spin-glass Implementation of a Hopfield Neural Structure

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Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8467))

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Abstract

Paper presents the hardware implementation of the Hopfield continuous neural network. We propose a molecular realization of a spin glass model. In particular, we consider a spin glass like structure that allows interconnection strengths change and neuron state test. Proposed device is based on SBA-15 mesoporous silica thin film, activated by Mn 12 molecular magnets. Our idea seems to be feasible from the technological point of view.

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Laskowski, Ł., Laskowska, M., Jelonkiewicz, J., Boullanger, A. (2014). Spin-glass Implementation of a Hopfield Neural Structure. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8467. Springer, Cham. https://doi.org/10.1007/978-3-319-07173-2_9

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  • DOI: https://doi.org/10.1007/978-3-319-07173-2_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07172-5

  • Online ISBN: 978-3-319-07173-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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