Abstract
Vertical cavity surface emitting lasers (VCSELs) are broadly applied in optical communication, optical interconnection, optical information processing, and optical integrated system. Therefore, diagnosing the output power of VCSEL is of great importance from the point of application view. Traditional approaches to diagnose the output power are by the rate equation, which is easily interfered by zero-value samples. Such model is capable of capturing the relationship between the laser output power intensity and the device temperature. However, those methods may over-fitting and fall into local optimum in the fitting process. In this paper, we propose an advanced model to address these limitations. Specifically, our model adds Rectified Linear Unit (ReLU) and weight parameters to reduce the zero-value interference. Moreover, the adaptive moment estimation (Adam) algorithm is employed to learn parameters in the model, and the L2-norm is taken into consideration to prevent overfitting. The experimental results show that proposed model outperforms the base model significantly, and can be used for diagnosing VCSEL’s power output. The mean squared error (MSE) of our model is 0.0815. The Mean Absolute Percentage Error (MAPE) is 20.72%, which is 22.29% lower than the base model.
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Wang, L., Chen, W. (2020). A Rectified Linear Unit Model for Diagnosing VCSEL’s Power Output. In: He, J., et al. Data Science. ICDS 2019. Communications in Computer and Information Science, vol 1179. Springer, Singapore. https://doi.org/10.1007/978-981-15-2810-1_46
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DOI: https://doi.org/10.1007/978-981-15-2810-1_46
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