剩余有限性是半群中比较重要的有限性条件之一，它和算法问题紧密相关。
Residual finiteness is one of the more important finiteness conditions. It has tight correlation with algorithmic problem.
理解的条件性表示了理解的有限性与相对性，同时也意味着理解的可能性。
Limited nature and relativity understood have been showed to condition understanding, and also signify at the same time the possibility understanding.
由于实际测量数据具有非线性特征，加上校正样本集合的有限性，使得解决小样本条件下非线性关系的模型传递问题显得尤为重要。
Because of nonlinear effect and small calibration sample set in fact, it is important to solve the problem of model transfer under the condition of nonlinear effect in evidence and small sample set.
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