Dr SENDY PHANG SENDY.PHANG@NOTTINGHAM.AC.UK
Assistant Professor
The optical reservoir computer: a new approach to a programmable integrated optics system based on an artificial neural network
Phang, Sendy; Sewell, Phillip D.; Vukovic, Ana; Benson, Trevor M.
Authors
Phillip D. Sewell
ANA VUKOVIC ANA.VUKOVIC@NOTTINGHAM.AC.UK
Professor of Electromagnetic Applications
Trevor M. Benson
Contributors
Giancarlo C. Righini
Editor
Maurizio Ferrari
Editor
Abstract
In this chapter, we briefly reviewed some developments in the field of integrated optics since Miller first introduced this concept, noting some approaches to optimise structures based on functional performance criteria. Chapter Contents: • 12.1 Introduction • 12.2 Some applications of genetic algorithms in integrated optics design • 12.3 Functional integrated optics powered by a reservoir computer • 12.3.1 Introduction to an algorithmic reservoir computer • 12.3.2 An optical reservoir computer as a temporal signal discriminator • 12.3.3 Chaotic cavity as a reservoir computer kernel • 12.3.4 ORC training and validation • 12.4 Conclusions • References.
Citation
Phang, S., Sewell, P. D., Vukovic, A., & Benson, T. M. (2020). The optical reservoir computer: a new approach to a programmable integrated optics system based on an artificial neural network. In G. C. Righini, & M. Ferrari (Eds.), Integrated Optics Volume 2: Characterization, devices and applications (361-380). Institution of Engineering and Technology (IET). https://doi.org/10.1049/pbcs077g_ch12
Online Publication Date | Dec 31, 2020 |
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Publication Date | Dec 31, 2020 |
Deposit Date | May 18, 2022 |
Publisher | Institution of Engineering and Technology (IET) |
Pages | 361-380 |
Book Title | Integrated Optics Volume 2: Characterization, devices and applications |
Chapter Number | 12 |
ISBN | 9781839533433 |
DOI | https://doi.org/10.1049/pbcs077g_ch12 |
Public URL | https://nottingham-repository.worktribe.com/output/8132533 |
Publisher URL | https://digital-library.theiet.org/content/books/10.1049/pbcs077g_ch12 |
Contract Date | Dec 31, 2020 |
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