Chinese Optics Letters, Volume. 18, Issue 5, 050602(2020)
Deep learning for position fixing in the micron scale by using convolutional neural networks
Fig. 2. Excitation efficiency of each fiber mode versus offset point (offset direction:
Fig. 3. Auto-correlation function of specklegrams: (a) offset point in the
Fig. 4. Excitation ratio of (a) the third and (b) the seventh lower modes at different offset points.
Fig. 5. Specklegrams of two centrosymmetric offset points: (a) (6 μm,
Fig. 7. Loss versus training epoch (loss, MSE in training set; and val_loss, MSE in validation set).
Fig. 8. Distribution of difference between the prediction label and validation label.
Fig. 9. Labeled offset points with
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Hongye Li, Hu Liang, Qihao Hu, Meng Wang, Zefeng Wang, "Deep learning for position fixing in the micron scale by using convolutional neural networks," Chin. Opt. Lett. 18, 050602 (2020)
Category: Fiber Optics and Optical Communications
Received: Dec. 3, 2019
Accepted: Jan. 16, 2020
Published Online: Apr. 28, 2020
The Author Email: Zefeng Wang (hotrosemaths@163.com)