Abstract
We successfully demonstrate classification of three classes of Iris flowers by implementing a trained neural network on an SOA-based InP cross-connect chip. Classification accuracy of 91.6% is achieved after a fine optimization procedure.
| Original language | English |
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| Title of host publication | 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings |
| Subtitle of host publication | Science and Innovations, CLEO_SI 2019 |
| Place of Publication | Washington |
| Publisher | Optical Society of America (OSA) |
| Number of pages | 2 |
| ISBN (Electronic) | 978-1-943580-57-6 |
| DOIs | |
| Publication status | Published - May 2019 |
| Event | 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States Duration: 5 May 2019 → 10 May 2019 |
Conference
| Conference | 2019 Conference on Lasers and Electro-Optics, CLEO 2019 |
|---|---|
| Country/Territory | United States |
| City | San Jose |
| Period | 5/05/19 → 10/05/19 |
Funding
Acknowledgement: This research work is financially supported by the Netherlands Organization of Scientific Research (NWO) under the Zwaartekracht programma, ‘Research Centre for Integrated Nanophotonics’.