算法

The multi neural networks ensemble algorithm was primary discussed and studied, A neural network ensemble algorithm used in automatic target recognition is proposed,.

5对多神经网络集成算法进行了初步的探讨研究，给出了一种用于自动目标识别的神经网络集成算法，并结合算法设计了一个基于多CPU并行结构的多目标识别神经网络系统。

Primary difference of PFA and CFA lies in how length of sequence to be transformed is selected.

从而使以往的偏见：PFA算法与CFA算法是完全无关的两类算法的概念，得以纠正。

This algorithm is used which not only gives the M sequence generated by primitive polynomial method of calculation as well as prepare the M sequence signal generation algorithm, and the preparation of the relevant identification method algorithms.

本算法里面不但给出了用于M序列生成的本原多项式计算方法，同时编写了M序列信号的生成算法，并编写了相关辨识方法的算法。

The paper studied the fundamental principes of LMS variable stepsize LMS NLMS algorithm and the performace of the filter based on these algorithms.

文中对LMS算法、变步长LMS算法、归一化LMS算法的基本原理及滤波特性进行了分析，并详细分析了它们的收敛、失调等特性。

The paper present the algorithm of dynamic real-time scheduling in the condition of limited priority level, and presents the minimum number of ...

该文提出了在优先级数量有限的条件下的动态调度算法，给出了一个任务系统动态调度所需的最小优先级的数量的算法，并对算法的复杂性进行了分析。

Second, probability model and its algorithm are presented, with emphasis on the detailedsteps of the algorithm.

建立了提取算法的概率模型且给出了相关的算法，并详细讨论了算法的每一个步骤。

Make further study of basic principle of ant algorithm, overall analysis and set up mathematic model for it, including transfer probability calculation, time and space complexity, realization problem, advantages and disadvantages and so on.

并从解的质量、时间/空间复杂度、实现难度、算法的优点及不足之处等各项指标对蚁群算法进行全面的分析，并以TSP(Travelling Saler Problem，旅行商问题)为例，介绍了蚁群算法在路径优化问题领域的应用。

In the case of keeping individual diversity and improving the level of adaptability of the individual diversity in the population,the immune genetic algorithm based on selection probability of similarity and vector distance is proposed.

为了防止基于相似性矢量距为选择概率的免疫遗传算法在优化过程中出现退化现象，通过在算法中引入免疫疫苗的方式，对该算法进一步加以改进。

Neural network competitive learning algorithms are widely used for vector quantization. In this paper, some typical competitive learning algorithms have been specially investigated and analyzed . A new competitive learning algorithm based on the neuron win probability is presented for vector quantization.

用于矢量量化的神经网络竞争学习算法徐勇陈贺新戴逸松（长春邮电学院，长春130012）（吉林工业大学，长春130025）摘要对典型的竞争学习算法进行了研究和分析，提出了一种基于神经元获胜概率的概率敏感竞争学习算法。

An iterative reasoning algorithm with time delay of CD is proposed in this paper to resolve time delay of complex system. It is an effective approximating reasoning algorithm for its polynomial time complexity. It realizes dynamic reasoning of causality diagram through multiplication of linkage strength matrix and probability vector when the CD has time delay.

本文针对复杂系统的时间延迟性提出了带时间延迟的因果图迭代推理算法，该算法可以在多项式时间复杂度内完成，是一种有效的近似推理算法。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。