Reservoir Computing
Gebundenes Buch

Reservoir Computing

Theory, Physical Implementations, and Applications

Herausgegeben: Nakajima, Kohei; Fischer, Ingo
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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, including complex systems science, physics, material science, biological science, quantum machine learning,...