运用空间映射算法优化天线阵的位置参量，可以大大提高运算速率，节省时间。
To use space mapping algorithm optimizing the position of the antenna, it can highly enhance the operation efficiency.
另外，用户可以为某些表空间指定特定的映射，而对其他表空间使用默认的表空间选择算法。
In addition, the user can specify specific mappings for some tablespaces, and the default tablespace selection algorithm for the remaining.
该算法在解空间内将实数染色体通过反向变换映射到量子位，采用量子位概率指导的实数交叉与混沌变异相结合的方法对实数染色体进行演化搜索。
In this algorithm, real chromosomes were inversely mapped to Qbits in the solution space. Qbits probability guided real cross and chaos mutation were used to real chromosomes evolution and searching.
该算法将测试向量空间映射到混沌空间并采用混沌搜索来寻找一对符合要求的测试向量对。
The algorithm maps test vector space to the chaotic space and USES chaotic search to find out the suitable testing pairs.
本文对无过滤规则无冲突的数据库进行了研究，提出了基于元组空间多维分组分类算法：元组空间矢量位映射算法。
Based on tuple space search, a packet classification algorithm called bitmap vector of tuple space for multi dimensional conflict free filters is presented in this paper.
该算法利用改进FAN算法的反向蕴涵部分激活故障并将测试向量空间映射到混沌空间，采用混沌搜索来确定未确定的测试向量位。
The algorithm used backward implication in improved FAN algorithm to activate fault and mapped test vector space to the chaotic space, adopted chaotic search to find out the suitable testing pairs.
论文提出一种模糊强化学习算法，通过模糊推理系统将连续的状态空间映射到连续的动作空间，然后通过学习得到一个完整的规则库。
In this paper, we propose a fuzzy reinforcement algorithm, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.
首先，提出一种模糊Q学习算法，通过模糊推理系统将连续的状态空间映射到连续的动作空间，然后通过学习得到一个完整的规则库。
A fuzzy Q learning algorithm is proposed in this dissertation, which map continuous state Spaces to continuous action Spaces by fuzzy inference system and then learn a rule base.
大多数流形对齐算法只能给出了训练集上的预测值，而没有给出整个数据空间上的映射关系。
Most of manifold alignment algorithms can only give the predictive value of the training set instead of producing a mapping defined everywhere.
将人工神经网络（ANN）、广义猫映射及概率统计等知识相结合构造了一种图像空间域水印算法。
The paper, by adopting jointly Artificial Neural Network (ANN), general Amold mapping, and statistical methods, intends to formulate an algorithm based on image spatial domain watermark.
针对DES密钥空间过小而不能抵抗穷举攻击的问题，本文给出了一种基于混沌映射的密钥空间拓展方法，从而构造了一种混沌变形DES算法。
To aim at the problem that the key space of DES is too small to prevent exhaust attacks, an expanding key space method is proposed and a chaotic transformed DES algorithm is constructed.
针对DES密钥空间过小而不能抵抗穷举攻击的问题，本文给出了一种基于混沌映射的密钥空间拓展方法，从而构造了一种混沌变形DES算法。
To aim at the problem that the key space of DES is too small to prevent exhaust attacks, an expanding key space method is proposed and a chaotic transformed DES algorithm is constructed.
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