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指标误差

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First, in the composite hypothesis testing, circular dispersion error which is more practicable than horizontal and vertical error is used to discuss some problems of the dispersion of impact points; and the critical area of decision in the dispersion problem is analyzed; the specific expression of Bayesian risk is worked out, which ameliorates the method that only can get the approximate solution by calculating numerical integration.

由此,本文主要应用Bayes方法对以下几方面进行了探讨:首先,在复杂假设下,本文利用圆散布误差这一精度指标对落点散布鉴定问题进行研究,它比以往所用的纵、横向偏差精度指标更具现实意义;分析了此鉴定问题的决策临界区域;给出其Bayes风险的具体表达式,对用数值积分进行近似求解的方法进行了改进;在此基础上,通过极小化试验的风险确定最优试验数n,并讨论了决策中犯两类错误的概率,给出了验前信息的表示。

The controller parameters are optimized by means of genetic algorithm to minimize the index consist- ing of the weighted index of squared error of the system and the weighted penalty term of violation of control input constraint.

控制器参数采用遗传算法进行优化,优化的指标由加权平方误差积分指标和控制力矩违反约束时的加权惩罚项组成。

Sensitivity function and control sensitivity function are obtained by Youla parameterization of controller,which is used to describe an integral square performance criterion containing tracking error and control energy.

由控制器Youla参数化得到控制系统的敏感度函数和控制敏感度函数用来表示一个包含跟踪误差和控制能量在内的积分平方性能指标,针对不同类型的时滞过程运用谱分解的方法最小化该性能指标,从而导出相应控制器的设计方法,可使系统在控制能量约束条件下具有最优的控制性能。

An integral square performance criterion containing tracking error and control energy was defined. Spectral factorization to minimizing the performance index for different systems was applied and corresponding parameter tuning methods of PID controller was derived, which could be used to obtain optimal control performance under control energy constraint.

定义了一个包含跟踪误差和控制能量在内的积分平方性能指标,针对不同系统运用谱分解的方法最小化该性能指标,从而导出相应的PID控制器的参数整定方法,可使系统在控制能量约束条件下具有最优的控制性能。

To avoid this, a robustness index is proposed as a replacement for the gain margin. Optimal controller design is the achievable by minimizing a designated error integral criterion for a load disturbance subject to inequality constraints on phase margin and the new robustness index.

因此,本文提出一强韧性指标来取代传统的增益边距,最佳强健控制器即可在相位边距和此指标的不等式限制下,透过将负载扰动产生之特定误差积分最小化来取得。

The objective function of the optimization problem consists of both the performance metrics of the image fusion, such as the root mean square error, and those of individual filters.

该优化问题的目标函数包括了图像融合的性能指标,如最小均方误差以及一些与传统滤波器相关的性能指标,包括阻带和通带能量。

Under the guidance of DPRIF integrating strategy, we set up an integreted SOFM-SVM model. Then we analyzed and optimized the model from the aspects of operating mechanism, data interface and function expandedness. The PCA method was introduced to reduce dimensionality and extract features, then to strengthen the clustering explanation; defined a CMI index, to ascertain the most effective or the best clustering number; A new Anti-NO algorithm was proposed to recognize and to filter the suspecious data in the sample; The medium result of SVM model was used to extract the borderline datas between two classified groups. This research compensated for the achievements of data recognition including pattern data, noises data and borderline data.

在DPRIF整合策略指导下构建了一个整合的SOFM-SVM模型,对该模型从运作机制、数据接口、功能扩展几个方面进行分析和改进:引入PCA方法进行数据降维和特征提取,用以加强聚类解释;结合统计聚类中的聚类误差概念定义一个聚类数有效性指标,利用SOFM算法中间结果进行指标求解,以筛选出有效或最佳聚类数;提出一种新的噪声识别算法用于对样本中的异常数据进行甄别和过滤;利用SVM模型的中间结果提取分类边界数据;进一步充实了包括模式类、噪声集和边界在内的模式识别成果。

The characteristic of error of sculling compensation is also studied to analyze the precision of compensation of algorithms, and the result is given.

本文给出了新的速度误差补偿算法,提高了补偿的效果,取得了较好的效果。本文还对划船效应补偿剩余误差特性进行了研究,给出了算法精度的评定指标

The credibility evaluation index system and feedback correction decision-making mechanism of the recognition result were established by qualitative and quantitative analysis of three kinds of general characters recognition error. And the analytical method of the recognition error was given.

设计了3种广义识字误差,通过对这3种广义识字误差的类型和数值进行定性与定量相结合的分析,建立了识别结果的可信度评价指标体系和反馈校正决策机制。

In this paper, test research have been performed on the two important mechanical properties indicator compressive modulus of elasticity and shear modulus. Numerical simulation has been performed on the base of results of test under the situation uniform and uneven thickness of elastomer layer, which analyze internal stress distribution of the elastomeric bearing, as follows:(1) The traditional test methods of compressive modulus of elasticity test are rather cumbersome and take up experimentalists lots of time. This paper has improved the traditional test methods of compressive modulus of elasticity test, which has collected the holding-load time together to concentrate on holding load. The tests have been performed on different types of bearings, which results show that the results of the improved test method conform to the error range regulated by the standard and can effectively save time for the experimentalists, also eliminate the accumulative error.

本文主要对板式橡胶支座的抗压弹性模量、抗剪弹性模量两个重要力学性能指标进行试验研究,并在试验结果的基础上对均匀胶层厚度和不均匀胶层厚度两种情况进行数值模拟,分析橡胶支座内部应力分布规律,具体内容如下:(1)传统抗压弹性模量试验方法比较繁琐,占用试验人员大量时间,本文对传统抗压弹性模量试验方法进行了改进,将持荷时间集中起来进行集中持荷,通过对不同类型支座进行试验,试验结果表明该改进试验方法所得结果符合标准规定误差范围,为试验人员节省了大量时间,并且还消除了传统方法中的累计误差。

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