Intelligent Gain Flattening of FMF Raman Amplification by Machine Learning Based Inverse Design

机译：基于机器学习的逆设计对FMF拉曼放大的智能增益平坦化

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We report an intelligent gain flattering method for rapid, precise and objective-driven FMF Raman amplifier design, by using machine learning based inverse design method to optimize the pump wavelengths, powers and mode contents.

机译：通过使用基于机器学习的逆设计方法来优化泵浦波长，功率和模式内容，我们报告了一种用于快速，精确和目标驱动的FMF拉曼放大器设计的智能增益平坦方法。

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《Optical Fiber Communications Conference and Exhibition》|2020年|1-3|共3页
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Yufeng Chen; Jiangbing Du; Yuting Huang; Ke Xu; Zuyuan He;
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2. Inverse System Design Using Machine Learning: The Raman Amplifier Case [J] . Journal of Lightwave Technology . 2020,第4期

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6. Three-dimensional vectorial holography based on machine learning inverse design [O] . Haoran Ren, Wei Shao, Yi Li, 2020

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7. Machine learning-based Raman amplifier design [O] . D. Zibar, A. Ferrari, V. Curri, 2019

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8. Application of Stimulated Raman Gain and Inverse Raman Spectroscopy to the Remote Detection of Chemical Agents [R] . Christesen, S. D. 1987

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Intelligent Gain Flattening of FMF Raman Amplification by Machine Learning Based Inverse Design

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