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Generalizing universal function approximators
Nature Machine Intelligence ( IF 23.8 ) Pub Date : 2021-03-18 , DOI: 10.1038/s42256-021-00318-x
Irina Higgins

At the heart of many challenges in scientific research lie complex equations for which no analytical solutions exist. A new neural network model called DeepONet can learn to approximate nonlinear functions as well as operators.

中文翻译:

泛化通用函数逼近器

科学研究中许多挑战的核心在于复杂的方程式,而对于这些方程式则不存在任何解析解。一种称为DeepONet的新神经网络模型可以学习近似非线性函数以及算子。
更新日期:2021-03-19
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