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

翻译：本文证明，第二隐藏层使用连续、有界不连续或无界激活函数的Kolmogorov双隐藏层神经网络模型，能够分别精确表示连续函数、有界不连续函数以及所有无界多元函数。