Deep reservoir neural networks for trees

DOI10.1016/j.ins.2018.12.052zbMath1489.68234OpenAlexW2906319771MaRDI QIDQ2004732

Claudio Gallicchio, Alessio Micheli

Publication date: 7 October 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11568/942129

zbMATH Keywords

reservoir computingrecursive neural networksdeep echo state networksecho state propertylearning in structured domains

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07)

Related Items (1)

Deep time-delay reservoir computing: Dynamics and memory capacity

Uses Software

• KEGG

Cites Work

• Reservoir computing approaches to recurrent neural network training
• The small-gain theorem, the passivity theorem and their equivalence
• Re-visiting the echo state property
• Insights into randomized algorithms for neural networks: practical issues and common pitfalls
• An experimental unification of reservoir computing methods
• Recursive self-organizing network models
• Convergent dynamics, a tribute to Boris Pavlovich Demidovich
• Universal Approximation Capability of Cascade Correlation for Structures
• 10.1162/153244304773936054

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