Photonic Reservoir Computing
Optical Recurrent Neural Networks| By: | Daniel Brunner, Miguel C. Soriano, Guy Van der Sande |
| Publisher: | De Gruyter |
| Print ISBN: | 9783110582000 |
| eText ISBN: | 9783110582116 |
| Edition: | 1 |
| Copyright: | 2019 |
| Format: | Reflowable |
Lifetime - $227.49
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Details
Table of Contents
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.