Hong GUO, Pengcheng DENG, Hui YANG. Application of Deep Learning in Impairments Compensation of Optical Fiber Communication[J]. Study On Optical Communications, 2024, 50(2): 22007501

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- Study On Optical Communications
- Vol. 50, Issue 2, 22007501 (2024)

Fig. 1. The structure of single-layer NN structure

Fig. 2. The characteristics of activation function

Fig. 3. The characteristics of Softmax function

Fig. 4. The structure of CNN

Fig. 5. The structure of RNN

Fig. 6. The structure of LSTM NN

Fig. 7. The structure of GAN
![The structure diagram of BiLSTM optical fiber communication model[33]](/Images/icon/loading.gif)
Fig. 8. The structure diagram of BiLSTM optical fiber communication model[33]
![The structure of DNN[34]](/Images/icon/loading.gif)
Fig. 9. The structure of DNN[34]
![The structure of DCNN[35]](/Images/icon/loading.gif)
Fig. 10. The structure of DCNN[35]
![The structure of IPCA-DNN[37]](/Images/icon/loading.gif)
Fig. 11. The structure of IPCA-DNN[37]
![The structure of SBRNN[38]](/Images/icon/loading.gif)
Fig. 12. The structure of SBRNN[38]
![The basic schematic diagram of sliding window[38]](/Images/icon/loading.gif)
Fig. 13. The basic schematic diagram of sliding window[38]
![The structure of LDBP[40]](/Images/icon/loading.gif)
Fig. 14. The structure of LDBP[40]
![The structure of CNN+RNN[41]](/Images/icon/loading.gif)
Fig. 15. The structure of CNN+RNN[41]
![The structure of AdaNN[42]](/Images/icon/loading.gif)
Fig. 16. The structure of AdaNN[42]
![The schematic diagram of sliding window[42]](/Images/icon/loading.gif)
Fig. 17. The schematic diagram of sliding window[42]
![The structure of ANN+Adaboost algorithm[43]](/Images/icon/loading.gif)
Fig. 18. The structure of ANN+Adaboost algorithm[43]

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