In this paper, we show that the Kolmogorov two hidden layer neural network model with a continuous, discontinuous bounded and unbounded activation function in the second hidden layer can precisely represent continuous, discontinuous bounded and all unbounded multivariate functions, respectively.

中文翻译：

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关于柯尔莫哥洛夫神经网络

在本文中，我们证明了在第二隐层中具有连续、不连续有界和无界激活函数的柯尔莫哥洛夫双隐层神经网络模型可以分别精确地表示连续、不连续有界和所有无界多元函数。