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The given approach can be applied to any existing PID design method for controlling processes with resonances, integrators and unstable transfer functions.

给出的方法可以应用于任何现有的PID控制的设计方法和控制过程,集成、稳定的共振传递函数。

Studying on the hydraulic pipelines of the nitrogen-inflating hydraulic pile hammer, establishes a optimization objective function for it with the relevant methods of parameter optimization, and uses Matlab to solve the model, gets a group of optimization pipelines size, and tests the validity of this method. So more efficiency methods for hydraulic system design of the nitrogen-inflating hydraulic pile hammer are provided.

以氮爆式液压打桩锤液压管道为研究对象,应用参数优化设计的相关方法建立氮爆式液压打桩锤管路优化分析的目标函数,并利用Matlab编程对模型进行求解,得出一组优化后的管道尺寸,并检验这种优化方法的有效性,为氮爆式液压打桩锤液压系统的设计开发提供了更为有效的方法。

The positions and functions of the inventory control in the environment of supply chain are discussed first. The analysis on main conflict problems needed to be determined is presented. Based on the algebraic Petri nets the modeling research on vender managed inventory is proceeded on. Considering the shortages of the original algorithms, the improvements are putout to speed up the search process and improve the precision of the search results. The optimizations of lots sizing problem with the objective function of inventory costs are processed by the improved optimal algorithms. By the analysis on the results of the optimization, the conditions of overtime work, out of stock, and security stock are achieved.

文章首先讨论了供应链环境下库存控制在物流管理中的地位和作用,分析了库存控制需要解决的主要矛盾;然后应用代数Petri网对供应商管理库存(Vender Managed Inventory,VMI)的模式进行了建模研究;针对原始的粒子群优化算法和遗传算法存在的不足,分别提出了改进型算法,提高搜索速度和搜索精度;运用改进的优化算法对以库存成本为目标函数的批量计划问题进行了优化,通过优化结果的分析,得出了批量生产计划安排中加班、缺货和安全库存的存在条件。

The dissertation recommends some kinds of methods and measures: such as adjusting the network configuration, connecting value and threshold value by the total value of all stylebooks, adding part of the adjusting value of the last time to the current adjusting value, transforming the stylebooks to standard value, optimizing activation function, appending threshold value to the putout of the nerve cell and so on. Simultaneity, the author brings forward a new method to optimize the model of artificial neural network . It is using the automatically adaptive genetic algorithm to make the network configuration, connecting value and threshold value of artificial neural network better. The method can make the model better and improve the simulating effect and forecasting precision.Genetic algorithm is an arithmetic based on evolution and genetics used to search the optimization .

本文针对人工神经网络应用中存在的上述问题,介绍了各种改进方法与措施:如用所有样本的总效果对网络权值矩阵和阈值向量进行调整、调整量中加入动量项、标准化训练样本数据、优化激励函数以及给神经元的输出值添加偏置量等;同时还提出了一种新的优化人工神经网络模型的方法,即采用自适应遗传算法对人工神经网络模型的网络结构和权值阈值进行全局优化搜索,以提高大坝安全监测人工神经网络模型的拟合成果和预测精度。

Since microprocessors have led to another revolution of the technology of weight measurement: it has revolutionized the resistance-strain sensors. As a result, high precision electronic balance is capable of being used in more widely area.

正是由于微处理机可以利用任何数学上可定义的函数来修正力传感器的输出特性,所以对力传感器的制作和补偿技术也带来了革新,经过研究和使用,本文采用的这种方法可很好的解决传感器输出非线性的问题,使电子天平在更广阔的领域内也得到了应用。

VFJ software does not stop at a basic low level of operation but adds to it with a real time operating system which also optimises all the necessary functions intended for the application.

VFJ 的软件并没有停留在操作的基本的低级水平上,而是在其上加了一个特意为应用文件而优化所有的重要函数的实时操作系统。

However, the quasi-human method can give us good strategies for jumping out of a trap of local minimum with the help of human beings\' behavior and experiences.A new 3-dimensional real Euclid model is proposed for the protein structure prediction problem. Then a quasi-physical method based on corresponding physical model is presented to solve the relevant mathematical problem.

拟物方法将原始问题落实为优化问题,而在用数学方法求解优化问题时,常常会碰到计算落入目标函数局部极小值陷阱的困境,如何从这种困境中逃逸出来,使得计算奔向前景更好的区域,拟物方法则无能为力,而应用拟人方法则可以设计出好的&跳出陷阱&的策略。

A droplet size and velocity distribution function was theoretically derived based on the maximum entropy principle and the momentum conservation law.

应用最大熵原理和动量守恒定律,从理论上建立了喷雾液滴尺寸和速度联合分布函数。

Supporting the vector quantity machine puts forward a new learning method according to statistics the study theory , receiving domestic and international of academia extensive attention in recent years, and have been used widely in pattern-recognition and function estimate.

支持向量机是根据统计学习理论提出的一种新的学习方法,近年来受到了国内外学术界的广泛重视,并已在模式识别和函数估计中得到广泛应用。

Supporting the vector quantity machine puts forward a new learning method according to statistics the study theory , receiving domestic and international of academia extensive attention in recent years, and have been used widely in pattern-recognition and function estimate.

摘 要:支持向量机是根据统计学习理论提出的一种新的学习方法,近年来受到了国内外学术界的广泛重视,并已在模式识别和函数估计中得到广泛应用。

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