Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Xu, Zhongshu"'
We present a new Deep Neural Network (DNN) architecture capable of approximating functions up to machine accuracy. Termed Chebyshev Feature Neural Network (CFNN), the new structure employs Chebyshev functions with learnable frequencies as the first h
Externí odkaz:
http://arxiv.org/abs/2409.19135
We present a numerical method to learn an accurate predictive model for an unknown stochastic dynamical system from its trajectory data. The method seeks to approximate the unknown flow map of the underlying system. It employs the idea of autoencoder
Externí odkaz:
http://arxiv.org/abs/2312.10001
Structured CNN designed using the prior information of problems potentially improves efficiency over conventional CNNs in various tasks in solving PDEs and inverse problems in signal processing. This paper introduces BNet2, a simplified Butterfly-Net
Externí odkaz:
http://arxiv.org/abs/1912.04154
Publikováno v:
In Journal of Computational Physics 15 November 2023 493
