1 近20 年来,国际上开始出现了一些按自然法则计算(physical computation) ,即模拟大自然的某种客观规律来设计求解复杂系统相关问题的算法[1 ,2 ] ,比较有代表性的如神经网络、模拟退火、遗传算法等。
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Thus, the deterministic annealing technique of a new branch of physical computation, which can get over above-mentioned limitation, is applied to data mining.
为了从某种程度上解决以上出现的问题，这儿就提出了按自然法则计算方法——确定性退火技术，应用到数据挖掘中。
Their primary role is not computation, and often they have strict requirements regarding their physical scale (as is the case with handheld devices).
其主要作用不是计算，并且通常对其物理规模有严格的要求(与手持设备一样)。
Errors in measurement and computation in physical experiment are investigated with the method of step by step teaching.
本文采用分层次教学方法对物理实验的测量误差和误差计算进行了探讨。
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