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Reservoir Computing in MEMS

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Reservoir Computing

Part of the book series: Natural Computing Series ((NCS))

Abstract

This chapter explores the use of the Duffing nonlinearity and fast dynamics found in microelectromechanical beam oscillators for reservoir computing applications. General properties of MEMS are discussed, and the Duffing microscale beam characteristics are analyzed through analytical models and simulations. The reservoir computer is then constructed around a single such nonlinear oscillator through temporal multiplexing of the input and self-coupling via delayed feedback. The parameters of the resulting physical system are finally adjusted for optimal performance on computing the parity of a binary input stream, as well as on a spoken digit recognition task.

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Authors and Affiliations

  1. Institut interdisciplinaire d’innovation technologique (3iT), Université de Sherbrooke, Sherbrooke, Canada

    Guillaume Dion, Anouar Idrissi-El Oudrhiri, Bruno Barazani, Albert Tessier-Poirier & Julien Sylvestre

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  1. Guillaume Dion
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  2. Anouar Idrissi-El Oudrhiri
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  3. Bruno Barazani
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  4. Albert Tessier-Poirier
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  5. Julien Sylvestre
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Correspondence to Julien Sylvestre .

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Editors and Affiliations

  1. University of Tokyo, Tokyo, Japan

    Kohei Nakajima

  2. Consejo Superior de Investigaciones Científicas, IFISC (UIB-CSIC), Palma, Spain

    Ingo Fischer

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Dion, G., Oudrhiri, A.IE., Barazani, B., Tessier-Poirier, A., Sylvestre, J. (2021). Reservoir Computing in MEMS. In: Nakajima, K., Fischer, I. (eds) Reservoir Computing. Natural Computing Series. Springer, Singapore. https://doi.org/10.1007/978-981-13-1687-6_9

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  • DOI: https://doi.org/10.1007/978-981-13-1687-6_9

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