然后推广了证据理论在多重故障综合诊断中的应用，并就综合诊断的实现策略和算法进行了研究。
Then we extend the evidence theory to suit the application of comprehensive diagnoses to multiple faults , and analyze the strategy and algorithm of realization .
反推控制是一种新颖的非线性控制策略，算法简单，易于工程实现，是目前交流伺服控制研究热点之一。
Backstepping control called a novel nonlinear strategy is one of the high focus research in ac servo drive for simple arithmetic and facility project implementation.
为了降低时延抖动，结合我们提出的两个算法，实现了数据缓冲策略。
To decrease delay jittering, a data buffer scheme is achieved with the two proposed algorithms.
在分析了它们各自的特点和任务之后，分别给出了使用算法的具体流程、分析策略、实现过程。
After we have analyzed them own characteristics, we provided the flow of algorithm, analysis tactics, the procedure of realization.
该策略通过不同迭代次数中种群相似度的差值实现两种算法的动态融合。
The dynamic combination of GA and ACO in the strategy is realized by the difference of population similarity in different iterations.
多代理体技术实现了教学的个性化，强化学习算法使得教学策略具有智能化。
Multi-Agent technology achieves the personalized in ITS, and reinforcement learning algorithm makes teaching strategies with the intelligent.
同时，设计了同步点自动定位算法，它是实现该策略的关键技术。
An algorithm of automatically spotting the synchronization points is provided, which is a pivot in this strategy.
然后推广了证据理论在多重故障综合诊断中的应用，并就综合诊断的实现策略和算法进行了研究。
Then we extend the evidence theory to suit the application of comprehensive diagnoses to multiple faults , and analyze the strategy and algorithm of realization . Finally, we give two real cases.
本文分析了数量结构的各种类型，提出了C语言实现的策略和算法。
This article analyzed various types of numeral structures, raised some strategies and approaches to realize the target with Language c.
针对常见分类算法在全局和局部区域性能不一致的问题，提出了双层分类策略及其实现算法。
To address the unsteady performance of common classifier in global environment and local region, this paper proposed a double-classification strategy and its implementation algorithm.
算法采用单步的区域多层布线策略，实现资源的合理分配；
The router adopts single-phase multi-layer area routing and achieves the optimized routing resource.
并对改进后的新学习策略进行了分析和研究，给出了其基本实现思想和算法描述，并指出它实现的可能性。
Furthermore, the paper analyses the new learning strategy, and introduces the basic realizing thought about new arithmetic and a description about it, and points out its realizing possibility.
该控制算法基于改进的九区图法实现，并在量测数据较差“区域级”无功电压控制策略无法实施时启动。
Based on an algorithm to alternately execute a recursive equivalence and an optimal matching injection flow searching, the regional-level control strategy is realized.
其中软件算法部分全部在主机CPU中实现，其中包括信道初始化，比特分配策略，符号同步，信道均衡，回波抵消，编码解码，FFT和IFFT等等。
The software algorithms are realized in host CPU, including channel parameters estimation, bit allocation, equalization, echo cancellation, FFT, IFFT, encoding, decoding, etc.
通过参数设定、输入电压相位计算、控制算法实现和开关接口等环节设计，实现了输入电流偏置角动态调整的控制策略。
In order to study the strategy of input current modulation, the simulation model of matrix converter under unbalanced input is built with MATLAB.
为了解决这个问题，提出了一种新的频率估计算法，采用扩频调制信息消除策略和分段相关FFT频谱分析技术实现频偏精确估计。
To solve this problem, a new method of frequency offset estimation is proposed. This method adopts modulated data elimination technique and the segmental correlation FFT algorithm.
介绍了一种交易中间件的原理，分析了主要数据结构队列，队列管理器的设计与实现算法，并给出了一个简单的流控策略模型。
This paper introduces the principle for transaction middleware, analyses the algorithm for Queue and Queue Manager, and presents a simple model for flow control.
针对无人机编队飞行的实际背景和限制条件，提出了一种基于多智能体系统（MAS）技术的编队飞行的智能优化控制策略和实现算法。
The multiagent system(MAS) based strategy and corresponding implementing algorithms for UAVs formation flight are proposed according to aviation characteristics and practical constraints of UAVs.
文中给出了分类策略和实现算法，并以中国石油网油气管道专题信息分类为例验证了方法的有效性。
The classification strategy and implementing algorithm is given in this paper, and the method's validity is proved by the subject information classification of China oil and gas pipeline.
同时在调度端实现了改进的加权差额轮询调度策略(MWDRR)与队列管理的随机早期丢弃算法(RED)。
And Modified Weighted Deficit Round Robin (MWDRR) scheduling scheme and Random Early Discard (RED) queuing mechanism are applied at scheduling end.
采用基于BP神经网络整定的PID控制策略以减弱系统的耦合影响，并给出了其控制算法在FPGA上实现的方法，包括脉动阵列算法映射、数据表示及精度和运算部件设计。
A control strategy based on BP-PID was introduced to decouple the looper system by using FPGA, which includeds systolic mapping, data representation and precision, and computation components design.
采用基于BP神经网络整定的PID控制策略以减弱系统的耦合影响，并给出了其控制算法在FPGA上实现的方法，包括脉动阵列算法映射、数据表示及精度和运算部件设计。
A control strategy based on BP-PID was introduced to decouple the looper system by using FPGA, which includeds systolic mapping, data representation and precision, and computation components design.
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