Improve the Fitting Accuracy of Deep Learning for the Nonlinear Schrödinger Equation Using Linear Feature Decoupling Method
2024-11-07Unverified0· sign in to hype
Yunfan Zhang, Zekun Niu, Minghui Shi, Weisheng Hu, Lilin Yi
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We utilize the Feature Decoupling Distributed (FDD) method to enhance the capability of deep learning to fit the Nonlinear Schrodinger Equation (NLSE), significantly reducing the NLSE loss compared to non decoupling model.