As a threshold, the local minimal certainty of decision table is calculated to control the number of rule set generated and avoid redundant rules existing.
利用该方法计算决策表局部最小确定性，并以此为阈值来控制规则集生成的数量，避免不必要的冗余规则的生成。
This paper presents a neighborhood search algorithm for finding a local minimal solution of the problem, then a filled function method for solving 0-1 programming is proposed.
文章首先给出搜索0-1规划局部极小解的邻域搜索算法，在此基础上给出了填充函数算法。
In model establishment of soft-sensing, the problems of small sample, non-linearity, high dimensions and local minimal value can be well solved by support vector machine algorithm.
在软测量建模过程中，基于支持向量机的算法能较好地解决小样本、非线性、高维数、局部极小点等问题。
In model establishment of soft-sensing, the problems of small sample, non-linearity, high dimensions and local minimal value can be well solved by support vector machine algorithm.
在软测量建模过程中，基于支持向量机的算法能较好地解决小样本、非线性、高维数、局部极小点等问题。
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