Reservoir Computing: Theory, Physical Implementations, and ApplicationsКНИГИ » ПРОГРАММИНГ
Название: Reservoir Computing: Theory, Physical Implementations, and Applications Автор: Kohei Nakajima, Ingo Fischer Издательство: Springer Год: 2021 Формат: True PDF Страниц: 463 Размер: 20,6 Mb Язык: English
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.
Навигация
Вход на сайт
Реклама
Reservoir Computing: Theory, Physical Implementations, and Applications 
