查询词典 convergence behavior

The relationship between transient response and shape design variables is highly non-linear, and the behavior of feasible domains is often not good, which may cause convergence difficulties. In order to improve convergence speed of iteration process, some algorithms the feasible domains adjusting, the adaptive move limit, the approximate line search and the approximate reanalysis, are adopted.

采用基于Newmark积分的直接求导法计算瞬态响应灵敏度，在序列二次规划算法中采用了可行域调整、近似—维搜索、自适应运动极限等改进技术，提高求解效率和收敛稳定性，以解决结构动态响应与设计变量的关系复杂、高度非线性，优化可行区域的性态不良等问题。

Bionic optimization algorithms,simulating the structural characteristics,law of evolution,behavior patterns,and way of thinking of biological or biological population,are computing methods with self-organization,adaptive and self-learning abilities,as well as a good global convergence,parallelism,and robustness.

仿生优化算法是模拟生物或生物种群的结构特点、进化规律、行为模式和思维方法等形成的计算技术和方法，具有自组织、自适应和自我学习能力以及良好的全局收敛性、并行性和鲁棒性等特点。

Analysis of the industry, this is an anomaly of reduced premium volume to a certain extent, means that "the size of a" bridge to reduce the behavior has been convergence.

业内人士分析，这是一个溢价量减少到一定程度的异常，这意味着"一个"桥梁大小，以减少行为已收敛。

The essence of EGA's global convergence and its behavior characteristics are analyzed. Two kinds of realization methods of EGA are studied and convergence analysis of them is carried out.

首次给出了最优保留及最优保留GA的规范化定义，分析了EGA全局收敛的本质及表现特征。

Information industry ; industrial convergence ; imitation behavior ; industrial upgrading

信息产业；产业融合；模仿行为；产业结构升级

By analyzing characteristics of the manual behavior and the convergence aberration of the CRT rear screen project TV, we have found the way to mimic the manual behavior and we have introduced some measures to lower the time cost and improve the adjust precision.

通过对人工调整行为和对CRT背投电视会聚失真的特点进行分析找到了模拟人工调整的方法，并根据系统自身的特点采取了一系列的措施来减少调整占用的时间和提高调整的精度。

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。

The conclusions are drawed as following:(1) both reinforcement learning moedel and BBAM can fit the information searching behavior on web in given context;(2) faced with a general restriction, which means a strong uncertainty, the decision making behavior of bounded rationality agent should involve completely rationally calculation and routinism without any conscious reflection on the situation;(3) agent's cognition evolution should be directed by consciousness, the convergence is affected by three factors: the initial belief system, the ...

通过实证分析可以得出以下结论：（1）强化模型和BBAM在一定程度、一定条件内都能较好的刻画用户网络文献检索行为；（2）学习的发生是与特定的外部场景相联系的，在通常的非强外在约束下，有限理性个体进行随机决策时，其行为同时包含了有意识的理性计算和无意识的规则遵循；（3）在随机决策过程中，个体可能发生的认知进化应是有意识指导的结果，但收敛的方向却受到至少三个因素的影响：初始的信念状态、对反馈信号的主观判断能力、试错的次数。

Modern society, with the continuous development of the Internet, mass media, social life, Telford departure from the behavior of the samples in a state of convergence presented in front of people, its impact on moral education in schools mainly in the acceptance of moral schools subject - the students moral value judgments and moral behavior will impact.

现代社会，随着互联网等大众传媒的不断发展，社会生活中的的德福背离现象以一种汇聚性的样态呈现在人们面前，其对学校德育工作的影响主要表现在对学校道德的接受主体——学生的道德价值判断和道德行为意愿的影响上。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。