主要结果是：当高次项是奇数次齐次多项式时，周期函数是单调增加的；
The main results are. the period function is increasing when the higher degree is odd;
本文研究了一类具偏李·普希兹连续和单调增加激活函数的神经网络绝对指数稳定性问题。
This paper investigates the absolute exponential stability of generalized neural networks with a general class of partially Lipschitz continuous and monotone increasing activation functions.
海拔和难度是直接对应的，并且必须单调增加，所以这是游戏设计中的一个关键约束。
Elevation directly corresponds to difficulty, and must monotonically increase, so that was a key constraint in the design.
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