Photonic Reservoir Computing: Optical Recurrent Neural Networks
by Daniel Brunner, Miguel C. Soriano, Guy Van Der Sande
Photonic Reservoir Computing: Optical Recurrent Neural Networks introduces the principles and terminology of reservoir computing in an optical context. Centered on photonic systems and recurrent neural networks, this technical volume offers readers a focused foundation for understanding light-based approaches to computation and machine learning.
About This Book
Photonic Reservoir Computing: Optical Recurrent Neural Networks presents the subject of reservoir computing through the lens of photonic and optical systems.
The book focuses on optical recurrent neural networks, connecting recurrent computation with the use of light for information processing.
It is intended for readers seeking a technical introduction to photonic approaches in computing and machine learning.
Daniel Brunner, Miguel C. Soriano, and Guy Van Der Sande contribute their expertise to this specialized area of research.
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