1) minimum entropy criterion
最小熵准则
2) least waveform entropy criterion
最小波形熵准则
3) minimum mean entropy difference criterion
最小均熵差准则
1.
As the development of minimum mean variance criterion,the minimum mean entropy difference criterion is introduced by means of data entropy and data entropy difference and is applied to data analysis and pattern cluster.
作为最小均方差准则的拓广,本文从数据熵、数据熵差引进最小均熵差准则,并应用于数据与模式聚类;给出基予最小均熵差准则的动态聚类算法与系统聚类算法,最后通过一个应用示例说明这一最小均熵差准则模式聚类的有效性与优越性。
4) information entropy increment minimization rule
信息熵增量最小准则
1.
This paper considers the problem of how to decide ordring quantity of the retailer by the profit maximization rule and information entropy increment minimization rule,by which both the maximization of profits can be satisfied and the attainability of profits increases.
本文研究了在考虑利润最大化准则和信息熵增量最小准则下,既能满足了利润最大化,又要增加利润可得性,销售商如何确定订购量的问题。
5) Principle of maximum entropy
最大熵准则
6) maximum negentropy criterion
负熵最大准则
补充资料：最小熵产生原理
见不可逆过程热力学。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条