Predicting the Evolution of the Supercontinuum Generation With CNN-LSTM Model

Predicting the Evolution of the Supercontinuum Generation With CNN-LSTM Model

We propose a hybrid deep learning model, namely convolutional neural network–long short-term memory (CNN-LSTM) approach to investigate the evolution of the supercontinuum (SC) generation numerically. The hybrid model can use the CNN model to extract and map the local features of the seque...

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Bibliographic Details
Main Authors: Yi Feng, Ruiyuan Liu, Xinyue Chang, Xiangzhen Huang, Yuan He, Ning Li, Tiantian Zhou, Chujun Zhao
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Photonics Journal
Subjects:
Supercontinuum
neural network
CNN-LSTM model
Online Access:https://ieeexplore.ieee.org/document/10919035/
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https://ieeexplore.ieee.org/document/10919035/

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