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Jun 4, 2021 · Reservoir Computing (RC) is a leading-edge paradigm for the design and training of recurrent neural network models.
Guest editorial for the special issue "Advances in Biologically Inspired Reservoir Computing" to be published in 06/2017. Read more ...
Reservoir Computing (RC) is a leading-edge paradigm for the design and training of recurrent neural network models. The approach has become popular among ...
June 3, 2021 Journal article Closed Access. Guest Editorial: Trends in Reservoir Computing. Scardapane, Simone; Gallicchio, Claudio; Micheli, Alessio; Soriano ...
Editorial: Recent trends in reservoir computing · May 2023 · International Journal of Modeling Simulation and Scientific Computing 14(02).
Reservoir Computing (RC) is a leading-edge paradigm for the design and training of recurrent neural network models. The approach has become popular among ...
Guest Editorial: Trends in Reservoir Computing. Scardapane S.;Gallicchio C.;Micheli A.;Soriano M. C.. 2021-01-01. Scheda breve; Scheda completa; Scheda completa ...
[J41] Scardapane, S., Gallicchio, C., Micheli, A., & Soriano, M.C., Guest Editorial: Trends in Reservoir Computing, Cognitive Computation, 15, pp. 1407-1408 ...
Sep 17, 2023 · The key insight behind reservoir computing is to use a randomly generated fixed recurrent neural network as a reservoir that projects inputs ...
The aim of this Special Issue is to focus on new challenges for fully exploiting the potential of RC in machine learning applications and realizing extremely ...
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