The experiment target is to find a rule modification algorithm that makes overshoot smaller, convergence speed quicker.
实验目标是寻找超调量更小、收敛速度更快的规则校正算法。
We propose a local modification algorithm on the basis of giving the algorithm for morphing polygons via discrete curvature interpolation.
该方法利用了离散曲率内在的形状特征，在给出多边形的离散曲率插值变形算法的基础上提出了局部修改算法。
Then, the online modification algorithm POMA based on prediction is put forward for short - term scheduling, which overcomes the myopia of the traditional methods.
并提出基于预测的短期生产调度在线校正算法POMA，改进了以往算法的“近视”效应。
The collaborative model perception and feature perception could be realized through the geometry modification search algorithm and feature location modification algorithm.
通过几何修改搜索算法和特征修改定位算法，实现模型级和特征级的协同感知。
Besides, this article presents the hierarchical model for storage and retrieval of case, and analyzes the integrated reasoning mechanism and modification algorithm for case.
采用面向对象方法定义了实例的对象模型及实例存储、检索的层状结构模型，并对集成推理机制和实例的修改算法做了探讨。
Besides, this article presents the hierarchical model for storage and retrieval of case, and analyzes the integrated reasoning mechanism and modification algorithm for case.
采用面向对象方法定义了实例的对象模型及实例存储、检索的层状结构模型，并对集成推理机制和实例的修改算法做了探讨。
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