Iris Flower Recognition Using Four-channels Ring Photonic Reservoir Computing Based on Unidirectional Coupled VCSELs

• Published in: IEEE journal of quantum electronics Vol. 59; no. 5; p. 1
• Main Authors: Yu, Qian, Xiang, Shui Ying, Guo, Xing Xing, Zhang, Ya Hui, Gu, Bi ling, Han, Yanan, Song, Ziwei, Hao, Yue
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Channels; Classification; Computation; Couplings; delay systems; Iris; Iris flower recognition; Iris recognition; Optical coupling; Recognition; reservoir computing; Reservoirs; Task analysis; Vertical cavity surface emission lasers; Vertical cavity surface emitting lasers
• ISSN: 0018-9197; 1558-1713
• DOI: 10.1109/JQE.2023.3292064

In this paper, a ring Four-channels reservoir computing (RC) based on unidirectional coupled vertical cavity surface emitting lasers (VCSELs) is proposed and demonstrated numerically. Here, the ring four channels are realized by four VCSELs for the first time. Such proposed RC system is employed to solve the Iris flower classification task, and the highest classification accuracy achieved at 100%. Besides, the effects of bias currents, external injection strength, frequency detuning, feedback strength, couple strength, as well as the number of virtual nodes on the recognition performance of the ring Four-channels RC based on VCSELs are also considered. The ring four-channel RC system based on VCSEL proposed may be of great significant for improving the RC system's ability to solve more complex problems.