
Reservoir Computing
- Theory, Physical Implementations, and Applications
- Herausgegeben:Nakajima, Kohei; Fischer, Ingo
- Gebunden,
- 1st ed. 2021,
- Springer, Berlin
- (2021)
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This book is the first comprehensive book about reservoir computing (RC). RC is a powerful and broadly applicable computational framework based on recurrent neural networks. Its advantages lie in small training data set requirements, fast training, inherent memory and high flexibility for various hardware implementations. It originated from computational neuroscience and machine learning but has, in recent years, spread dramatically, and has been introduced into a wide variety of fields, in ...
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Reihe:
Natural Computing SeriesDETAILS
- Reservoir Computing
- Theory, Physical Implementations, and Applications
- Gebunden, xix, 458 S.
- XIX, 458 p. 161 illus., 127 illus. in color.
- Sprache: Englisch
- 235 mm
- ISBN-13: 978-981-1316-86-9
- Titelnr.: 71125298
- Gewicht: 871 g
- Springer, Berlin (2021)
Herstelleradresse
Springer Heidelberg
Tiergartenstr. 17
69121 - DE Heidelberg
E-Mail: buchhandel-buch@springer.com
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