Zhiyong Sheng, Zhiqiang Zeng, Hongquan Qu, Wei Li. Fiber Intrusion Signal Recognition Algorithm Based on Stochastic Configuration Network[J]. Laser & Optoelectronics Progress, 2019, 56(14): 140602
- Laser & Optoelectronics Progress
- Vol. 56, Issue 14, 140602 (2019)
Fig. 1. Principle of optical fiber pre-warning system
Fig. 2. Standard SCN model
Fig. 3. Dropout-SCN model: standard multi-input and multi-output network model is presented
Fig. 4. Original signals. (a) Digging signal; (b) knocking signal; (c) electric drill signal
Fig. 5. Scatter plot of output weight distributions of SCN, Dropout-SCN and SCN with L2 regularization
Fig. 6. Effect of Dropout probability on test error under number of hidden nodes L=70
Fig. 7. Test RMSE for three network models
|
Table 1. Results of optical fiber test data
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20