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Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

机译：自适应激活功能加速了深度和物理信息通知神经网络的收敛

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Ameya D. Jagtap; Kenji Kawaguchi; George Em Karniadakis;
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1. Adaptive activation functions accelerate convergence in deep and physics-informed neural networks [J] . Journal of Computational Physics . 2020,第期

机译：自适应激活功能加速了深度和物理知识神经网络的收敛
2. Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks [J] . Jagtap Ameya D., Kawaguchi Kenji, Karniadakis George Em Proceedings of the Royal Society. Mathematical, physical and engineering sciences . 2020,第2239期

机译：局部自适应激活功能，具有深层和物理信息的神经网络的坡度恢复
3. Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function [J] . Shuai Li, Sanfeng Chen, Bo Liu Neural processing letters . 2013,第2期

机译：通过使用符号双幂激活函数将递归神经网络加速为有限时间收敛的时变西尔维斯特方程
4. Adaptive Activation Functions for Skin Lesion Classification Using Deep Neural Networks [C] . Abdulaziz Namozov, Dilshod Ergashev, Young Im Cho International Symposium on Advanced Intelligent Systems;International Conference on Soft Computing and Intelligent Systems . 2018

机译：使用深度神经网络的皮肤损伤分类的自适应激活功能
5. Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks [D] . Obla, Srinath. 2020

机译：深神经网络同态评价的有效激活功能
6. Smooth Function Approximation by Deep Neural Networks with General Activation Functions [O] . Ilsang Ohn, Yongdai Kim 2019

机译：具有一般激活功能的深神经网络的平滑函数近似
7. Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks [O] . Ameya D. Jagtap, Kenji Kawaguchi, George Em Karniadakis 2020

机译：局部自适应激活功能，具有深层和物理信息的神经网络的斜坡恢复

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

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