Multilayer Feedforward Networks are Universal Approximators
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1. Multilayer Feedforward Networks are Universal Approximators, Sonia Hornik 1989;
2. A visual proof that neural nets can compute any function(http://neuralnetworksanddeeplearning.com/chap4.html):
1) Neural nets have a kind of universality;
2) We can only get an approximation that is as good as we wang;
3) The function must be continuous;
3. 神经网络可以以任意精度近似任意连续函数，甚至只有一层隐藏层时.
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