Then, whenever we have a new data point, with an unknown output value, we put it through the model and produce our expected output.
之后，只要我们有一个输出值未知的新的数据点，我们都可以将其放入这个模型并生成预期的输出。
It is the typical and troublesome problem that the synthesis of function generator approaches minimization of the maxiumun deviation between the output and the expected value.
函数发生机构中输出角度与期望值之间的最大偏差为最小的问题机构综合中一个典型而又较难处理的问题。
If the initial value is not the expected output, but in its certain neighborhood, then we put such questions as the initial value of iterative learning control.
如果不在期望输出上，而是在期望输出轨迹的某一邻域上，我们把这类问题称为迭代学习控制的初值问题。
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