Data-Driven SOA Parameter Discovery and Optimization Using Bayesian Machine Learning With a Parzen Estimator Surrogate
Author:
Affiliation:
1. ECO-EHCI Research institute, Eindhoven University of Technology, Eindhoven, The Netherlands
2. VPIphotonics GmbH, Berlin, Germany
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atomic and Molecular Physics, and Optics
Link
http://xplorestaging.ieee.org/ielx7/50/10380232/10254272.pdf?arnumber=10254272
Reference29 articles.
1. Design and Fabrication of Low Polarization Dependent Bulk SOA Co-Integrated With Passive Waveguides for Optical Network Systems
2. Micro-transfer-printed narrow-linewidth III-V-on-Si double laser structure with a combined 110 nm tuning range
3. Compact 8×8 SOA-Based Optical WDM Space Switch in Generic InP Technology
4. Lossless SOA-based Multi-band OADM Nodes in Metro Networks
5. The Dynamics of Semiconductor Optical Amplifiers: Modeling and Applications
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