查询词典 likelihood function
- 与 likelihood function 相关的网络例句 [注:此内容来源于网络,仅供参考]
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The maximum likelihood function of the fatigue life was proposed based on the maximum likelihood principle, and it was born out that the maximum likelihood method could be used for the fatigue analysis.
基于极大似然原理,推导出关于疲劳寿命的极大似然函数,并证明了将极大似然方法用于疲劳分析的可行性。
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In order to study the effect of using maximum likelihood method on parameter identification of supermini rotating aerial vehicle, recursive maximum likelihood method was used to identify parameters of the models control function of remotepiloted controlling for unmanned aerial vehicle,and the maximum likelihood identification was introduced.
为了研究采用极大似然法进行飞行参数辨识的效果,利用递推极大似然法对超小型旋翼飞行器遥操作仿真模型控制函数的参数进行了辨识,对极大似然辨识的结果进行了动态性能分析和系统相对稳定性分析,并将其和用传统的最小二乘辨识的结果进行了对比。
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Based on the invariance of maximum likelihood estimation, the sufficient and necessary condition under which the maximum likelihood estimation has invariance for the parameters are given, then it uses this conclusion to calculate the maximum likelihood estimation of σ^2 and ρ for bivariate normal distribution.
根据参数极大似然估计不变性原则,给出在一定条件下极大似然估计具有不变性的充分必要条件,并利用该结论计算了二元正态分布Z=的未知参数σ^2和ρ的极大似然估计值。
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Generalized linear models, which can model a large variety of data, have a wide area of application. The class of GLMs includes, as special cases, linear regression, analysis-of-variance models, log-linear models for the analysis of contingency tables, logistic models for binary data in the form of proportions and many others. Usually, the parameters in the generalized linear models are estimated by the method of maximum likelihood . But, in the literature, the nonrobustness of the maximum likelihood estimator forβhas been studied extensively. The quasi-likelihood estimator of the parameter of the generalized linear model shares the same non-robustness properties.
广义线性模型,可用于对多种类型的数据进行建模,是应用非常广泛的模型,线性回归模型、方差分析模型、用于列联表分析的对数线性模型和逻辑斯谛模型等都是广义线性模型的特例,通常,我们用极大似然的方法估计广义线性模型中的参数,但是,在文献中,对参数β的极大似然估计的非稳健性已经有了广泛的研究,广义线性模型的拟似然估计也显示了非稳健性。
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In the training of HMM, referring to the auxiliary function in reference〓, and the method in reference〓 to get the estimations of the parameters of Markov chain, we define the likelihood function and auxiliary function for the maximum likelihood estimation of CDHMM, and then induce systematically the forward-backward algorithm and the re-estimation formulas for parameters of CDHMM.
在HMM的建模方面,本文借鉴文献〓中求多变量观测值马尔可夫链参数时辅助函数的选取方法,定义了CDHMM的似然函数和辅助函数;借鉴文献〓中求解马尔可夫链参数时的求偏导方法,并针对本文辅助函数加以简化和改进,系统地推导了HMM的前向—后向算法,以及CDHMM各参数的极大似然估计公式。
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Though comparing Canny operator and center B spline dyadic wavelet, the following conclusion is proven in this dissertation: a Center B spline function has tight support and Canny operator hasn't. b Center B spline function asymptotic convergence to Gaussian function and the derivative of Center B spline function asymptotic convergence to Canny operator. c The derivative of fourth order center spline B function is more suitable as a optimal edge detector than Canny operator. d Center B spline function can balance the smoothing and approximation of original data, and the fourth center B spline function is the only optimal solution of two order smoothing problem. e The error between the valve of time-frequency uncertainty of the fourth center B spline function and the lower bound of time-frequency uncertainty does not exceed 0.143% of the lower bound. f The derivative of center spline B function can construct a stability dyadic wavelet and can give a fast algorithm for multiscale edge detection, but Canny operator can do neither.
作者给出了Canny算子与中心B样条二进小波严格的比较证明,得出如下结论:a中心B样条函数具有紧支集,Canny算子不具有紧支集。b中心B样条函数的极限收敛于高斯函数,中心B样条函数的导数收敛于Canny算子。c四阶中心B样条函数的导数比Canny算子更接近最佳边缘检测滤波器。d中心B样条函数比高斯函数更能兼顾对原函数平滑和逼近的折中要求,并且四阶中心B样条函数是二阶逼近问题的唯一最优解。e四阶中心B样条函数的时频测不准关系值与时频测不准关系下界的逼近误差不超过0.143%。f中心B样条函数的导数可以构成稳定的二进小波,存在快速的多尺度算法;而Canny算子不构成稳定的二进小波,无法给出快速的多尺度算法。
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The problem of multi-objective usually meet many conflict each other and can not use the objective of the same standard unit, then to employ membership function of fuzzy theory,at first each objective function to change fuzzy set and express with membership function, membership function include the maximum constraint, minimum constraint, the decrease function of monotonic property, to become optimal of the multi-objective function, but still to scanty of weighting value with regard to adjustment of objective function, thus this thesis proposes the method of combine orthogonal arrays and particle swarm optimization to solve the problem of multi-objective optimal power flow, each objective function separately add weighting value, to setting each weighting value of objective function in order to the result of anticipating.
多目标最佳化的问题通常会面临到许多互相冲突且不能用同ㄧ标准单位的目标,於是利用模糊理论中的归属函数,首先将各目标函数转换成模糊集合并以归属函数表示,归属函数包含了最大限制值、最小限制值、单调的递减函数所组成,将各目标函数利用归属函数表示,形成单一目标函数的最佳化,但是仍缺乏权重值对於目标函数的调整,於是本篇论文提出ㄧ种权重值设定与粒子群优演算法的方法去解决多目标最佳电力潮流的问题,将各目标函上分别加上权重值设定各目标函数的权重值,得到预期的效果。
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Along with the time development, the computer technology more and more thorough various trades and occupations, have provided thorougher and a convenient service for the general users In order to realize raises department's working efficiency, uses the resources fully, reduces the nonessential manpower, physical resource and financial resource goals and so on disbursement, presented various information management system The paper will design university student's dormitory information management system's Web and realizes using the solution The university student's dormitory information management system is one safe and the highly effective proprietory system, designs specially for the information engineering institute This system has used many technologies, for instance JSP, JDBC, Web service and so on The proprietory system use's database is SQL the Server 2000 databases The university student's dormitory information management system's major function includes: May realize to the student's dormitory information inquiry function, including fast inquiry function and classified inquiry function; To the student's dormitory information's input function, the revision function, deletes the function and the statistical function Realizes the dormitory Control section through the system above function regarding the student's dormitory information current management, namely facilitates the dormitory administrative personnels to keep abreast of the student lodging situation and the billeting situation comprehensively promptly; Has provided some simple data inquiry for the user and outputs each kind of information and so on
随着时代的发展,计算机技术越来越深入各行各业,为广大的用户提供了更为周到和便捷的服务。为了实现提高部门的工作效率,充分利用资源,减少不必要的人力,物力和财力的支出等目的,出现了各种各样的信息管理系统。论文将设计一个高校学生公寓信息管理系统的Web应用解决方案并予以实现。高校学生公寓信息管理系统是一个安全和高效的专用系统,专为信息工程学院设计。这个系统使用了很多技术,比如JSP,JDBC ,Web服务等。专用系统使用的数据库是SQL Server 2000 数据库。高校学生公寓信息管理系统的主要功能包括:可以实现对学生公寓信息的查询功能,包括快速查询功能和分类查询功能;对学生公寓信息的录入功能,修改功能,删除功能和统计功能。通过系统上述功能实现公寓管理部门对于学生公寓信息的日常管理,即方便公寓管理人员及时全面地掌握学生住宿情况及公寓分配情况;为用户提供了一些简单的数据查询并输出各种信息等。
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Firstly, preprocess road image with edge operator to get the edge information, then construct a deformable template model of road contour and its likelihood function which define the fitting degree for a given group of deformable template parameters, finally genetic algorithm is used to search the global optimal value of the likelihood function to get the optimal parameter of the deformable road model.
真实场景的道路识别算法常常受到光照变化的影响,导致图像序列中道路目标的亮度值变化较大,传统基于固定阈值的方法不能很好的解决该问题,因此道路识别算法鲁棒性差,即使道路检测和识别算法在光照较为固定的场景具有较好的效果,但这样的算法很难移植到其它光照场景。
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This paper proposes a new cost function which is based on the likelihood function amplified with a nonlinear function, and the global convergence of this function can be obtained more easily than the original cost function.
本文从参数的最大似然估计出发,采用非线性来放大似然函数并构造一个新的代价函数,该函数能更明显区分局部和全局最佳值。
- 相关中文对照歌词
- Function
- Function At The Junction
- Function
- Run
- Form Follows Function
- At The Club
- Pin Drop
- Nothing's Something
- Pretenders
- Euro Zero Zero
- 推荐网络例句
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But this is impossible, as long as it is engaging in a market economy, there are risks in any operation.
但是,这是不可能的,只要是搞市场经济,是有风险的任何行动。
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We're on the same wavelength.
我们是同道中人。
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The temperature is usually between 300 and 675 degrees Celsius.
温度通常在摄氏300度到675度之间。