Can I read Reservoir Computing: Theory, Physical Implementations, and Applications (Natural Computing Series) on EtoBox?

Reservoir Computing: Theory, Physical Implementations, and Applications (Natural Computing Series) by Kohei Nakajima, Ingo Fischer is a nonfiction available to read on EtoBox.

What is Reservoir Computing: Theory, Physical Implementations, and Applications (Natural Computing Series) about?

"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, optical communication systems, and robotics. Reviewing the current state of the art and providing a concise guide to the field, this book introduces readers to its basic concepts, theory, techniques, physical implementations and applications. The book is sub-structured into two major parts: theory and physical implementations. Both parts consist of a compilation of chapters, authored by leading experts in their respective fields. The first part is devoted to theoretical developments of RC, extending the framework from the conventional recurrent neural network context to a more general dynami

Who reads Reservoir Computing: Theory, Physical Implementations, and Applications (Natural Computing Series)?

Author

Kohei Nakajima, Ingo Fischer

Publisher

Springer Nature Singapore

Published

2021

Language

EN

ISBN

9789811316869

Category

nonfiction

Subjects

Mathematics, Computer Science, Stem