查询词典 optimization

The parameters optimization design model is proposed, which is based on a control model with the quasi-Euler angle, Euler angle velocity and absolute angular velocity as the feedback. The vibration-resistance parameters of the given controller are chosen as the optimization variables, and the on-off times of the engines is chosen as the optimization objective function.

基于一类采用拟欧拉角、拟欧拉角速度和飞行器绝对角速度为反馈信号的姿态机动控制模型，以其消振参数为优化变量，开关次数为优化指标，建立了姿态机动参数优化模型。

On the basis of analysis of existing problems in application of common comprehensive optimization models, the characteristics of optimization are combined with the principle of Artificial Neural Network organically. The ANN analysis situs structure is established and the learning algorism for the ANN is designed. The methods of generating training samples and alternative optimization are put forward.

在分析水利水电工程常用综合优选模型应用中存在问题的基础上，将综合优选问题的特点和人工神经网络原理有机结合，建立了方案综合优选的人工神经网络拓扑结构；设计了相应的网络学习算法；提出了生成训练样本和方案优选方法。

We firstly summarize the NN system modeling methods and the popular optimization algorithms, and point out the deficiencies, the limitation of noise cancellation modeling and the need of human intelligence participation, in our former optimization work after analysis. An abstract problem is extracted. It is to find out control variant that makes system output optimized using the data comprising a sample set with N x samples and their corresponding y, and it does not explore given system and achieves full automatic computation procedure. Next we propose a multi-variant controlled system optimization method utilizing CASSANDRA-I small type neural computer and program its application software. Moreover systematic experiments are made to demonstrate the method's validity, ability of noisy samples disposal and practical application.

我们总结了神经网络系统建模方法以及得到广泛采用的优化算法，并分析指出我们前阶段的优化工作中存在的去噪声建模有局限性和计算过程需人干预的不足，在此基础上把问题抽象为：已从系统获得含N个控制量样本的样本集S以及每个样本对应的系统输出，如何依据这些数据求出一个使系统输出y得到优化的控制量x，而不研究具体系统，实现不需要人智能参与自动完成的计算过程；提出应用人工神经网络硬件系统——CASSANDRA-I小型神经计算机的多变量控制系统优化方法，设计完成了其应用软件；并进行系统的实验工作，验证算法的有效性以及此方法处理带噪声样本和实际应用能力。

Regarding small convergence interval of conical degree as machinery sealed ring basic principle of structure optimization,with the maximum contact pressure as goal function,with the wear allowance of float ring as designing variable,the first order optimization method was applied to carry on thermal-structural coupling finite element optimization analysis of machinery sealed ring.

以小锥度的收敛间隙为优化原则，以最大接触压力作为目标函数，以静环端面的磨损裕度为设计变量，采用一阶优化法进行机械密封环热-结构耦合有限元优化计算。

In order to solve the temperature optimization Control for basification Tower in complicated bleaching process, the optimization control strategy is analyzed. To avoid trapping at local optimization effectively, the improvement method for standard genetic algorithm is proposed.

摘 要：针对工艺复杂的漂白工段碱化塔温度控制优化问题，分析了碱化塔温度优化控制策略，提出了标准遗传算法的改进方法IGA，有效避免了标准遗传算法寻优过早陷入局部最优解问题。

We optimized reaction system for labelling-antibody in which the optimal amount of the purified anti-Stx2B IgG conjugated with colloidal gold beads was 60μg/mL, the purified antibody for E.coli O157 was 57μg/mL, the optimal pH was 8.2, the size of colloidal gold partical was 20nm, the optimization of stabilizing agent was BSA, the optimization buffer was boracic acid buffer with pH 8.2, the optimization of preserving fluid and eluant was boracic acid buffer with pH 8.2 including 5mM NaCl-1%BSA, confining liquid for NC membrane was 0.01% PBST with 3%BSA, the amount of polyclonal antibody against E.coli O157 and Stx2 conjugated with colloidal gold beads for conjugate pad was 3μg respectively, the amount of anti-Stx monoclonal antibody for test line was 0.1μg and 1μg for E.coli O157, the amount of goat anti rabbit IgG for control line of both GICA were 1μg.

测定了胶体金颗粒的最优化反应体系：胶体金颗粒的大小为20nm；抗体与胶体金溶液结合的最佳pH约为8.2；最佳蛋白结合量分别为抗大肠杆菌O157 IgG为57μg/mL，抗重组Stx2B IgG为60μg/mL；最佳稳定剂为BSA；最佳缓冲液为pH8.2硼酸溶液；最佳金标保存液和洗涤液为5mM NaCl-1%BSA的pH 8.2的硼酸缓冲液；NC膜的封闭液为3%BSA的0.01mol/L PBST；Stx2试纸条和大肠杆菌O157试纸条的质控线上的羊抗兔IgG的多克隆抗体最佳点样量均为1μg，其检测线的抗Stx2的单克隆抗体的点样量为0.1μg、抗大肠杆菌O157的单克隆抗体的点样量为1μg，结合垫上的金标抗大肠杆菌O157和重组Stx2B多克隆抗体点样量均为3μg。

Ant Colony Optimization Algorithm is a novel kind of simulated evolutionary optimization algorithm, which provides a new method for complicated combinatorial optimization problems.

蚁群优化算法是一种新型的模拟进化优化算法，为求解复杂的组合优化问题提供了一种新的思路。

Job-shop scheduling is a typical combinatorial optimization problem, and large scale scheduling optimization is one of such difficult optimization problems.

作业车间调度是一种典型的组合优化问题，大规模的调度优化是该类问题的难点。

In addition, we introduce the application of this algorithm in function optimization, constrained optimization and parameter optimization.

并介绍了这种新算法在函数优化、约束优化和参数优化问题中的具体应用。

Then, the relations among the robust optimization model, stochastic optimization model, and deterministic optimization model are analyzed and two algorithms, enumeration method and genetic algorithm are presented.

分析了鲁棒优化模型与确定性优化模型、随机优化模型的关系，并在此基础上给出了求解鲁棒优化模型的两种方法——枚举法和遗传算法。

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。