对经济复杂性系统研究文献中常见的主体学习算法进行了一个全面的梳理。
This paper gives a comprehensive overview about agent learning algorithms used in economic complexity system research.
算法的优化需要全面的理解CPU。
A full understanding of the CPU is required for algorithm optimization.
对这些关键技术进行全面的比较和评估，并提出优化的算法，是提高CDN系统性能的主要途径。
The primary approach to improving the performance of CDN is to carry out overall comparison and evaluation for the key technologies, and work out optimized algorithms.
本文对大学课表的排课要求进行了全面的分析，结合智能学习算法的Q学习算法，设计出了课表编排问题的较为实用的模型。
I analyze the request of curriculum arrangement, using intellect learning arithmetic's Q-learning, designing an applied mathematics model to deal with this problem.
通过锁相环捕获与跟踪算法的研究，更为全面的掌握了环路的跟踪特征以及捕获特性本身的缺陷。
And then through the research of acquisition and tracking algorithm in Phase-Locked Loop, we master more of the tracking characteristics, and understand their own deficiencies of the acquisition.
自主避障算法是避障功能的灵魂所在，传统的控制算法通常依赖于被控对象精确的数学模型和完整全面的环境信息。
Effective algorithm is the core of this ability. Traditional control algorithms always rely on accurate mathematical models of the controlled object and integrity environment information.
对影响算法优化结果的暂态约束门限值、故障切除时间等因素进行了全面的比较和深入的讨论。
Some key factor such as maximum rotor angel value and clearing time are also discussing intensively in this thesis.
介绍了移动通信中关键技术之一的智能天线技术，并就它的结构、算法以及在第三代移动通信中的应用进行了较全面的阐述。
Smart antenna is one of the key technologies of mobile communications. It describes the technology and focus on its architecture, algorithm and application to 3G mobile communication.
主要工作和成果如下：①对谱聚类基本原理和典型算法做了较为全面的分析和研究，利用谱聚类的特性实现了在复杂数据集上的聚类。
We focus on finding abnormity in datasets with clustering and classified structure and studying the implement and optimization of key technology for outlier detection in this paper.
主要工作和成果如下：①对谱聚类基本原理和典型算法做了较为全面的分析和研究，利用谱聚类的特性实现了在复杂数据集上的聚类。
We focus on finding abnormity in datasets with clustering and classified structure and studying the implement and optimization of key technology for outlier detection in this paper.
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