Photonic Reservoir Computing - Optical Recurrent Neural Networks (Hardcover)

Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips.

General

Imprint:	De Gruyter
Country of origin:	Germany
Release date:	July 2019
First published:	2019
Editors:	Daniel Brunner • Miguel C Soriano • Guy Van Der Sande
Dimensions:	240 x 170 x 20mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	277
ISBN-13:	978-3-11-058200-0
Categories:	Books > Science & Mathematics > Physics > Optics (light) Books > Science & Mathematics > Physics > Electricity, magnetism & electromagnetism Books > Professional & Technical > Technology: general issues > Nanotechnology Books > Computing & IT > General theory of computing > General Books > Reference & Interdisciplinary > Communication studies > Information theory > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN:	3-11-058200-7
Barcode:	9783110582000

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!