基于...

At last, a comprehensive identification method of control chart pattern is suggested, and an application is given.

接着，研究了两类控制图模式识别的方法：包括基于规则的和基于人工神经网络的控制图模式识别方法。

Based on modern manufacturing systems, several key techniques in the network-based remote real-time experiment teaching system have been studied and a network-based remote real-time control PLC pneumatic desk prototyping system has been developed.

本文在现代制造系统的基础上，对基于网络的远程实时实验教学的关键技术进行了研究，并开发了一个基于网络的远程实时控制的PLC气动实验台的原型系统。

Hardware and software design of DSP controlled system is given in chapter 5 and chapter 6 respectively.

一种是基于DSP的控制系统；另一种是基于FPGA的控制系统。

In plotting scene, the invention connects fiber-optic gyro(1) with full station instrument telescope(3) by adaptor(2), and make optical fibre gyro can follow full station instrument telescope simultaneously do 180 degree turning reel full station instrument cross shaft, respectively on two horizontal positions of east and west direction of gyro axis that differ by 180 degree; each horizontal position process 2 x 2 position gyro data acquisition on full station instrument perpendicular tray that differ by 180 degree; using formula to count out full station instrument collimation axis true azimuth, survey station meridian convergence angle, then can obtain full station instrument collimation axis grid azimuth, realize full station instrument orient.

基于光纤陀螺的全站仪组合定向方法是一种应用于测绘工作的基于光纤陀螺的全站仪组合定向方法，该方法在测绘现场，把光纤陀螺(1)通过连接装置(2)与全站仪望远镜(3)固连，使光纤陀螺(1)可随全站仪望远镜(3)绕全站仪横轴(4)同步做180度转动，分别在陀螺轴东西向相差180度两个水平位置，每个水平位置在全站仪竖盘相差180度的两个竖直位置进行2×2位置陀螺数据采集；利用公式算得全站仪视准轴真方位角、测站子午线收敛角，即可进一步获得全站仪视准轴坐标方位角，实现全站仪定向。

A sort of autonomous agent construction method based on adaptive symbiotic evolutionary model was proposed,and by using adaptive symbiotic evolution algorithmas an evolutionary reinforcement learning method,Which can design neural network decision making systems effectively. while at the same time this method can accelerate the learning and convergence speed in the behavior evolution problem of multi agent autonomous system,and it also prevents premature convergence and promotes population diversity.

文章研究了一类基于自适应共生进化模型的自主体构造方法，提出了基于自适应共生进化算法的一种进化强化学习方法，该方法不仅可以高效地进行神经网络决策系统的设计，而且在多自主体组成的自律系统的群体行为进化中可快速学习而收敛，并且通过多样度调节维持了群体多样性，克服了未成熟收敛现象。

PSO is a population-based optimization algorithm, which mimics the social behavior of animals in a flock. It makes use of individual and group memory to update each particle position allowing global and local search optimization. The objective function considered was the total weight of the structure subjected to stresses, displacements and forces constraints. The effects of the parameters were investigated as well and such combination of tuning parameters promote a better global search behavior avoiding premature convergence while rapidly converging to the optimal solution. Results showed the effectiveness of the proposed method by comparing with ANSYS Design Optimization Tool (zero-order method). The PSO with the tuning parameters makes it an ideal method for offshore wind turbines foundations optimization tasks.(2) A reliability analysis method for pile foundation bearing axial loads based PSOThe performance function of pile foundation's axially bearing capacity sometimes is nonlinear and complex, on the basis of geometric meaning of structural reliability index, an optimum model with PSO for structural reliability analysis under arbitrary random variables was established, The PSO algorithm is very efficient to solve global optimization problemsIts use in structural reliability field presents not only the advantage of its facility of implementation, but also the possibility to obtain the design point and the failure probability with a good accuracy. In addition, PSO is a zero order algorithm, for no derivative is necessary for its implementation.

本文的研究针对桩式海上风机基础结构的特点，在国内外有关研究成果的基础上对海上风机基础结构优化设计理论和可靠度方法一些相关问题进行了较为深入的研究，具体做了以下几个方面的工作：(1)基于粒子群优化的桩式海上风机基础确定性优化设计方法桩式海上风机基础的优化设计是一个复杂的、非线性约束的优化问题，针对传统的基于梯度信息的优化方法在处理非线性问题中易陷入局部最优解的问题，本文将一种耦合惩罚函数的PSO算法引入到海上风机基础结构概念设计中，PSO算法是从群体动物聚集觅食这一活动中受到启发而发展的，该算法利用个体和群体的信息共享不断改进自身的位置从而进行局部和全局最优搜索，本文中以桩和三脚架连接段直径及壁厚为设计变量，以基础总重量作为优化的目标函数，在给定的约束条件下建立了三脚架基础优化数学模型，另外本文还研究了PSO参数变化对结果的影响，协调的参数组合可以避免陷入早熟收敛而能够快速的获得全局的最优解，通过与ANSYS优化模块的计算结果比较验证了该方法的有效性，本方法为海上风机基础的确定性设计提供了一条有效的途径。

Secondly, after studying modeling nonlinear systems using Volterra series model, the adaptive algorithms are presented. It is also investigated that step factor controls the convergence of the algorithms.

其次，研究了基于Volterra级数模型的非线性系统的自适应辨识问题，提出了基于Volterra滤波器的自适应算法，讨论了步长因子的确定问题以及对算法收敛性的影响。

It overcomes the shortages such as low speed of convergency, easily running into the local optimization etc.

故我们在该学习模块中使用了基于免疫的学习算法，克服了基于梯度的学习算法的收敛速度慢、易陷入局部最小的缺陷。

The DEM in the new geodetic coordinate system on the ellipsoidal surface is different from the DEM in the projection plane.

基于此种坐标系在椭球面上建立DEM不同于基于地图投影概念的DEM。

This dissertation mainly analyzes the propagation characteristics of coplanar waveguide resonant-type CRLH transmission line structure based on split ring resonator and microstrip resonant-type CRLH transmission line structure based on complementary split ring resonator, and presents some novel microwave components using them.

本文主要分析了基于开环谐振器的共面波导型与基于逆开环谐振器的微带线型谐振式复合左右手传输线结构的传输特性及其在微波元器件设计中的应用，论文创新及有价值的工作主要有以下几个方面： 1。

Recall that, in the Kolmogorov axiomatization, measurable sets are the sets which have a probability or, in other words, the sets corresponding to yes/no questions that have a probabilistic answer.

延期开工的Kolmogorov宣布要衡量所有套职能有限许多坐标限制在于衡量子寅。换句话说，如果是/否的问题回答f可看的价值观念在许多最有限坐标，然后它有一个概率的答案。

The experimental results showed that the algorithm can filter singular points and remain fixity of the target edge.

实验表明：基于模糊理论的图像智能滤波方法比常规图像滤波方法运算量小，它既能去除奇异点，又能保持图像中目标的边缘不变性，具有很好的滤波效果。