rate of normal approximation 正态逼近速度
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With the best polynomial approximation as a metric, the rate of approximation of the neural networks with single hidden layer to a continuous function is estimated by using a constructive approach.
以最佳多项式逼近为度量，用构造性方法估计单隐层神经网络逼近连续函数的速度。
What are the ways in terms of matching these rate constants that we can get to the approximation. To a diagram that looks like that?
如何使这些速率常数,和我们的近似相匹配呢,达到像图表中所画的那样？
Which is the steady state approximation, where one rate, the rate to go into the intermediate is very slow, or the rate to get out of the intermediate is very fast.
它是稳态近似，其中一个速率，生成中间产物的速率十分缓慢，或用掉中间产物的速率十分快。
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