KOPS - Das Institutionelle Repositorium der Universität Konstanz

Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals

Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals

Zitieren

Dateien zu dieser Ressource

Dateien Größe Format Anzeige

Zu diesem Dokument gibt es keine Dateien.

GRIGORYEVA, Lyudmila, Julie HENRIQUES, Laurent LARGER, Juan-Pablo ORTEGA, 2016. Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals. In: Neural Computation. 28(7), pp. 1411-1451. ISSN 0899-7667. eISSN 1530-888X

@article{Grigoryeva2016-07Nonli-35211, title={Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals}, year={2016}, doi={10.1162/NECO_a_00845}, number={7}, volume={28}, issn={0899-7667}, journal={Neural Computation}, pages={1411--1451}, author={Grigoryeva, Lyudmila and Henriques, Julie and Larger, Laurent and Ortega, Juan-Pablo} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/35211"> <dc:creator>Ortega, Juan-Pablo</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-09-12T09:48:12Z</dcterms:available> <dc:contributor>Ortega, Juan-Pablo</dc:contributor> <dc:contributor>Henriques, Julie</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/35211"/> <dc:creator>Grigoryeva, Lyudmila</dc:creator> <dc:creator>Larger, Laurent</dc:creator> <dc:creator>Henriques, Julie</dc:creator> <dc:contributor>Larger, Laurent</dc:contributor> <dcterms:issued>2016-07</dcterms:issued> <dcterms:title>Nonlinear Memory Capacity of Parallel Time-Delay Reservoir Computers in the Processing of Multidimensional Signals</dcterms:title> <dcterms:abstract xml:lang="eng">This letter addresses the reservoir design problem in the context of delay-based reservoir computers for multidimensional input signals, parallel architectures, and real-time multitasking. First, an approximating reservoir model is presented in those frameworks that provides an explicit functional link between the reservoir architecture and its performance in the execution of a specific task. Second, the inference properties of the ridge regression estimator in the multivariate context are used to assess the impact of finite sample training on the decrease of the reservoir capacity. Finally, an empirical study is conducted that shows the adequacy of the theoretical results with the empirical performances exhibited by various reservoir architectures in the execution of several nonlinear tasks with multidimensional inputs. Our results confirm the robustness properties of the parallel reservoir architecture with respect to task misspecification and parameter choice already documented in the literature.</dcterms:abstract> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-09-12T09:48:12Z</dc:date> <dc:language>eng</dc:language> <dc:contributor>Grigoryeva, Lyudmila</dc:contributor> </rdf:Description> </rdf:RDF>

Das Dokument erscheint in:

KOPS Suche


Stöbern

Mein Benutzerkonto