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Conference papers

Training recurrent Random Neural Networks: first and second-order techniques, reservoir models, numerical aspects

Gerardo Rubino 1 
1 DIONYSOS - Dependability Interoperability and perfOrmance aNalYsiS Of networkS
Inria Rennes – Bretagne Atlantique , IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES
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Conference papers
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https://hal.inria.fr/hal-02430427
Contributor : Gerardo Rubino Connect in order to contact the contributor
Submitted on : Wednesday, January 8, 2020 - 11:09:22 PM
Last modification on : Monday, April 4, 2022 - 9:28:24 AM
Long-term archiving on: : Thursday, April 9, 2020 - 1:41:03 PM

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  • HAL Id : hal-02430427, version 1

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UNIV-RENNES1 | CNRS | INRIA | INSA-RENNES | IRISA | CENTRALESUPELEC | INRIA2 | UR1-MATH-STIC | UR1-UFR-ISTIC | UNIV-RENNES | UR1-MATH-NUM

Citation

Gerardo Rubino. Training recurrent Random Neural Networks: first and second-order techniques, reservoir models, numerical aspects. Conference on Modelling Methods in Computer Systems, Networks and Bioinformatics, Oct 2019, Paris, France. pp.1-51. ⟨hal-02430427⟩

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