基本算法

Combining the precise exponential matrix calculation with the basic assumptions of constant average acceleration method of the Newmark family, explicit integral method with Taylor series and its algorithm are put forward.

将Newmark-β法中常平均加速度法的基本假定与精细指数算法结合，根据指数矩阵的Taylor级数展开式，提出了动力方程的显式级数解，并设计了相应的时程积分算法。

Based on the new theories developed in biology,the basic theoreticalproblems of the genetic algorithm,which are the representation scheme,co-nvergence and convergence rates of the genetic algorithms,etc.,are discussedwith Boolean algebra,group theory,martingale theory and axiomatic method inthe framework of the Markov chain.

本文以生物学发展的新理论为背景，在遗传算法的Markov链框架下运用Boole代数、群、鞅及公理化方法研究遗传算法的表示、收敛性与收敛速度等基本理论问题。

Synergy PSO algorithm model from South Africa who Frans van den Bergh, for the high-dimensional problems of the effect was significantly better than the basic particle swarm algorithm.

协同微粒群算法模型由南非人Frans van den Bergh提出，对高维问题处理的效果要显著优于基本微粒群算法。

The basic theory of neural network and an algorithm of BP are described in this paper.

详细介绍了神经网络及BP算法的基本理论，并针对BP算法存在的问题，作者提出了相应的改进措施。

Using a triangle classification program as an example, under the guidance of branch distance based fitness function, performance of generating path-oriented test data between these two algorithms are compared. Experimental results show that PPGA based approach can generate path-oriented test data more effectively and efficiently than SGA based approach does.

采用基于分支距离的适应度函数，以三角形分类程序为例比较了二者在生成路径测试数据时的性能差异，实验结果表明伪并行遗传算法较之基本遗传算法具有明显优势。

Abstract〕similar to regression analysis,cluster analysis,etc.,correlation analysis is also the basic work for information researches.canonical correlation analysis can be used to analyze the relationship between two groups of variables,and thus worth for using in information science.method of canonical correlation analysis was presented in present study.a java-based network algorithm of canonical correlation analysis was developed,which can be used to calculate the canonical correlation coefficients,canonical variable pairs,and statistical significance of canonical correlation coefficients.the algorithm may be run on java-compatible web browser.at the same time,paper publishing information and citation statistics in information science of china in past years were analyzed using the algorithm,and a number of conclusions were drawn.

摘 要〕与因果分析等一样，相关分析也是信息资料分析的基本工作。典范相关分析用于分析两组变量之间的关系，在情报信息的相关性分析方面有潜在的应用价值。本研究介绍了典范相关分析方法，给出了典范相关分析的java网络算法软件，可用于计算典范相关系数，典范变量对，以及典范相关系数的统计显著性。该软件可在兼容java的网络浏览器上运行。同时，用该算法对国内情报信息论文的发文和引文统计数据进行了分析，得到了一些结论。

Firstly, this thesis introduce the related concepts of the algorithm and some GCD algorithms that current existing, then list a few basic properties of Greatest Common Divisor.

本文首先介绍了算法的相关概念和当前现有的GCD算法，然后列出了最大公因子的几个基本性质。

In the thesis, the fundamental formula of FFD method derives from the square root that is approximated by a continued fraction expansion in the one-way wave equation. Optimizations of the parameters of the finite-difference operator improve the validity of the method.

本论文用连分式近似单程波波动方程中的平方根导出FFD算法的基本公式，并对FFD算法中的有限差分算子进行了系数优化，进一步提高了计算的有效性。

Firstly, this paper investigated roundly the basic theory of the ambient vibration method, analyzed systematically the main methods of ambient vibration identification, and discussed their advantages and disadvantages. Then we established the finite element model of structural dynamics and test model and analyzed their mutual relation, improved MUSIC method and correlation function method in the harmonic identification, and gave the subspace method and correlation function method based on continuous model, which is multi-harmonic retrieve technique. And then, this paper also puts forward least-squares method to estimate directly structural physical and modal parameters; this approach replaced the derivative operator in the continuous time model with an equivalent approximation, and estimated the physical parameters of structures by the least-squares method. And then, we discussed the approximation methods of derivative and their convergence. Finally, this paper researched the modal parameters of a frame structure by the simulation and test. The results demonstrated that subspace method, correlation function method and the least-squares method are effective and stable respectively.

全面地研究环境振动识别方法的基本理论，系统地分析环境振动识别方法的主要方法，讨论它们的优点和不足；建立结(来源：6666AB44C论文网www.abclunwen.com)构动力学的有限元模型和试验模型，分析有限元模型与试验模型之间的相互关系；改进谐波识别中的MUSIC识别方法和相关函数识别方法，给出大型结构模态识别的连续型的子空间分解识别方法和相关函数识别方法，这个方法是多元谐波识别方法；提出直接识别结构的物理参数和模态参数的最小二乘方法，这个方法利用导数的近似值代替导数值，并运用最小二乘方法识别结构的物理参数，讨论导数近似值的选择方法，分析算法的收敛性；通过仿真计算和模型实验，研究高层框架结构的模态参数识别，验证子空间分解识别方法、相关函数识别方法和最小二乘识别方法的有效性，算法的稳定性；从理论和试验两个方面分析和研究噪声对识别精度的影响，影响识别精度的因素，以及部分模态成分的模态参数不能够被识别的原因。

The strategy and controller are coming from combined analysis of combustion mechanism, generation mechanism of pollutants, influential elements, present application status of PID control method in combustion, as well as sum-up of controlling experience and contradistinctive researches of control strategies. It is shown that this method, when applied to furnace temperature controlling and activated-sludge process, is able to ensure controlling objects tracking in the presence of varying operation conditions, as verified via computer simulation. The thesis consists of chapters as following: Chapter 1 generalizes the research objective and brings forward the inferior theme; generation mechanisms of pollutants

本论文由以下章节组成：第1章对研究课题作了综述，提出了研究的子课题；第2章分析探讨污染物生成机理及二次污染物产生的条件，研究了控制污染的工程控制策略；第3章分析研究了仿人智能控制基本理论及其优越性；第4章通过仿真实验验证了仿人智能控制算法在炉膛温度控制中的有效性；第5章分析研究了有效防止二次污染的烟气处理方法；第6章通过仿真实验验证了仿人智能控制算法在废水生化处理中的可靠性和有效性；第7章总结了全文研究工作并对今后的工作作了展望。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。