Efficient self-learning of photonic neural network through neuroevolution

Jia Wang; Tian Zhang; Yihang Dan; Furong Hu; Yuxiang Lanqiu; Jian Dai; Kun Xu

Asia Communications and Photonics Conference (ACPC) 2019
OSA Technical Digest (Optica Publishing Group, 2019),
paper M4A.284

Efficient self-learning of photonic neural network through neuroevolution

Jia Wang, Tian Zhang, Yihang Dan, Furong Hu, Yuxiang Lanqiu, Jian Dai, and Kun Xu

Asia Communications and Photonics Conference 2019

Chengdu China
2–5 November 2019
ISBN: 978-1-943580-70-5

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Joint Poster Session (M4A)

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J. Wang, T. Zhang, Y. Dan, F. Hu, Y. Lanqiu, J. Dai, and K. Xu, "Efficient self-learning of photonic neural network through neuroevolution," in Asia Communications and Photonics Conference (ACPC) 2019, OSA Technical Digest (Optica Publishing Group, 2019), paper M4A.284.

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Abstract

We propose a novel learning strategy to train the optical neural networks based on neuroevolution. The accuracy of modulation formats recognition reach to 93%, indicating that the proposed method is competitive with other learning algorithms.

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