Design Strategies for Weight Matrices of Echo State Networks

DOI10.1162/NECO_a_00374zbMath1268.92051WikidataQ47285937 ScholiaQ47285937MaRDI QIDQ2840892

Welf Wustlich, Roger Labahn, Tobias Strauß

Publication date: 23 July 2013

Published in: Neural Computation (Search for Journal in Brave)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Systems biology, networks (92C42) Special matrices (15B99)

Related Items (3)

Unnamed Item ⋮ Short-Term Memory Capacity in Networks via the Restricted Isometry Property ⋮ Echo state network with multiple delayed outputs for multiple delayed time series prediction

Cites Work

• Reservoir computing approaches to recurrent neural network training
• Analysis and Design of Echo State Networks

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