A parallel implementation based on adaptive lattice algorithms is proposed.
本文提出一种基于自适应格形算法的并行实现方法。
This paper researches several transformation algorithms among different chain codes of binary image on square lattice.
研究了正方形点阵上二值图像的几种链码之间的相互转换算法。
Comparised with the traditional lattice method of calculation complexity and storage, the algorithms have obvious advantages.
同传统格型算法相比，这种算法的计算复杂度及存贮量有明显改善。
The lattice operators, which correspond with the knowledge fine relation, are defined, and the algorithms of them and sufficient and necessary conditions for the knowledge fine relation are given.
定义了与知识精细关系相容的格算子，并给出了其算法和知识精细关系的充要条件。
Then we give out the algorithms for extracting association rules from the lattice based on intent reduct, where two properties are exploited to remove the redundant rules.
然后基于内涵缩减，我们给出了从格上提取关联规则的算法伪码，两个性质被用来去除冗余的关联规则；
Furthermore, the lattice synthesis algorithms for linear phase FIR digital filters are simplified.
并对线性相位FIR数字滤波器的格型综合算法作了简化。
The test results show that this algorithm makes better improvement in time complexity than the horizontal union algorithms of common universe concept lattice found in related literature.
提出了同类概念的观点，在格的合并算法中通过利用同域概念格之间的同类概念和概念的父—子关系实现对其所有子节点的快速更新，以提高概念格横向合并算法的时间效率。
Genetic algorithms is used for optimization cutting of lattice structure members. Some project examples indicate that this method is simple and practicable and effective.
将遗传算法应用于网格结构杆件下料优化，经过工程实例分析表明。该方法简单易行，且效果明显。
On the basis of genetic algorithms for protein folding, a software system of protein folding simulation with lattice model is designed.
在模拟蛋白质折叠的遗传算法基础上，采用晶格模型，设计了一个用于蛋白质折叠模拟的软件系统，并举例说明该系统的用法。
On the basis of genetic algorithms for protein folding, a software system of protein folding simulation with lattice model is designed.
在模拟蛋白质折叠的遗传算法基础上，采用晶格模型，设计了一个用于蛋白质折叠模拟的软件系统，并举例说明该系统的用法。
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