作者给出计算有限域上正规基乘法表的一个算法。
The author proposes an algorithm for computing the multiplication table of the normal basis over the finite fields.
本文在总结曲面重建主流算法的基础上，对点云的边界检测问题进行了研究，提出了一种基于空间正规分割的边界检测新算法。
In this thesis we summarize the main approaches for surface reconstruction, study the problem of boundary detection for point clouds, and propose a new algorithm based on regular space subdivision.
该优化算法为模糊控制器的设计提供了一个正规的可遵循的方法。
This optimizing algorithm provides a regular method for the design of the fuzzy- controller.
本文主要介绍基于编译器构造技术中的由正规表达式到最小化dfa的算法设计和实现技术，以及自动机转换正规式的方法。
This thesis introduces the arithmetic design that how regular expression switches to minimum state DFA and the method how finite automata switches to regular expression.
一个简单的机器学习算法，朴素贝叶斯算法可以把正规邮件从垃圾邮件里面分离出来。
A simple machine learning algorithm called naive Bayes can separate legitimate email from spam email.
与普通的试算法、正规方程法、规划求解法等数解法及图解法相比，该算法具有良好的收敛稳定性、方便实用性及较高的计算精度。
By contrast with trial method, normal equation method and plan solution method, present solution has good convergence stability, practicability and higher calculation accuracy.
第三章：基于空间正规分割的边界检测算法。
Chapter Three: a Boundary Detection Algorithm Based on Regular Space Subdivision.
研究中提出了新的基于正规基和正则基的比特串行模乘算法实现方案。
A new bit-serial modular multiplication based on optimal normal and shifted canonical was presented.
从介绍蚂蚁系统出发，提出了新的状态转移规则及全局修正规则，结合这些新规则设计出一个新算法，该算法是一个分布式并行算法。
The ant colony system is introduced and a new algorithm for TSP is presented. This algorithm is a distributed parallel algorithm with a new state transition rule and new global updating rule.
另外，新算法在挖掘正规则的同时，利用负规则裁减掉无效规则，得到的结果更符合用户的购物行为。
In addition, when the new algorithm is mining positive association rules, it cuts out invalid rules using negative rules, and this makes the result more in line with the user's shopping behavior.
另外，新算法在挖掘正规则的同时，利用负规则裁减掉无效规则，得到的结果更符合用户的购物行为。
In addition, when the new algorithm is mining positive association rules, it cuts out invalid rules using negative rules, and this makes the result more in line with the user's shopping behavior.
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