- 更多网络例句与可表示的函数相关的网络例句 [注:此内容来源于网络,仅供参考]
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The definition of the absolute value for a fuzzy number is obtained.Furthermore,a lot ofproblems,such as absolute integrability,bounded variation and absolute continuity,arepresented and discussed.The representation theorem of the absolute values of fuzzy num-bers is established.It plays an important role in discussing the problems conceming theabsolute value.The relation between the absolute integrability and integrabili-ty is discussed,and the following result is obtained:aintegrable fuzzy-number-valued function is absolutely integrable iff it is integrable.The relation between theabsolute integrability and the absolute continuity of the primitive for fuzzy-number-valuedfunctions is dealt with.It is also pointed out that a fuzzy number valued function is ab-solutelyintegrable if and only if its integral primitive is fuzzy absolutely continuous.
提出了模糊数绝对值的概念并讨论了与绝对值相关的一系列问题,如绝对可积性、有界变差性、绝对连续性等,给出了模糊数绝对值的定义以及表示定理,该表示定理在涉及绝对值问题的讨论中起非常重要的作用;讨论了绝对可积与可积之间的关系,得到了结论:可积的模糊数值函数绝对可积的充要条件是该模糊数值函数可积;给出了模糊数值函数绝对可积与其积分原函数绝对连续性之间的关系,指出模糊数值函数绝对可积的充要条件是其原函数模糊绝对连续。
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After a power spectrum is constructed, empirical wavelet coefficients are used to detect the jump points in the function to obtain the strong consistent estimator of the position and number of the frequencies. Numerical simulations show this method is reliable.
根据它们的协方差函数可以表示为一个Fourier级数,而其Fourier系数可通过协方差函数的逆变换得到的特性,我们对于零均值的近周期相关序列构造了类似于周期图的函数,并构造其经验小波系数,利用频率处于此函数的尖点的特性,以及此性质在经验小波系数中的反映,来确定频率的个数和位置,所有的估计量都是强相合的,此外,数值模拟的结果表明,我们的方法是有效的。
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It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.
本文在上述研究的基础上,取得了如下主要研究成果:①构造了一个通用的人脸轮廓模型表示,解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题,并给出了模型内、外能函数的定义,同时给出了模型的全局与局部匹配算法,实验表明,使用这种表示形式以及匹配算法,能够较好地提取人脸图象的轮廓,可实际用于人脸图象的分割;②深入分析了PCA方法的识别机制,得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论,同时指出这也是造成PCA方法通用性较差的本质原因,并给出了不同人脸空间距离的一种度量方法,使用该度量方法能够直观地对人脸图象空间进行分析;③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度,实验结果表明,探测精确度很高,从而有利于人脸图象特征提取,以及图象的有效表示;④构造了人脸图象的各局部特征模板,用于人脸图象局部特征的探测;同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法,实验结果表明,使用这种方法能够精确地得到人脸图象各局部特征的位置;⑤提出了一种新的人脸图象表示法---双属性图表示法;利用属性图来表示人脸图象,并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性,这种表示方法充分利用了人脸图象的局部特征的统计特性,并且使用Gabor变换来反映人脸图象的拓扑结构,从而使得双属性图表示法具有较强的通用性;⑥在双属性图表示的基础上,给出双属性图匹配函数及匹配算法,在函数及算法设计过程中,考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响,使得匹配算法具有较强的通用性;⑦设计并实现了一个通用的人脸图象识别系统,实验结果表明,该系统在图象光照、尺度、旋转姿势情况下,得到了较好的识别效果。
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Bring forward a kind of learning algorithm fitting on the base of spline function, because the spline function has good flexibility and quadratic smoothing property, the search problem of network weight functions training can be converted into the resoluting extreme value problem of the plurality function through using spline function to represent network input and link weight functions, thus the PNN can be trained with the help of the existing neural network learning algorithms;④build a kind of learning algorithm base on the alternate of Walsh function, the complexity of network computing can be decreased through using the complete orthogonality of Walsh function corollary.
应用结果表明该算法收敛速度快,稳定性好;③提出了一种基于样条函数拟和的学习算法,由于样条函数具有很好的柔韧性和二次光滑性,将网络输入函数和连接权函数用样条函数的形式表示,可把网络权函数训练的函数寻优问题转换为多元函数求极值的问题,从而可借助于现有的神经网络学习算法训练过程神经元网络;④建立了一种基于Walsh函数变换的学习算法,利用Walsh函数系的完备正交性,可大大降低网络计算的复杂度。
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Any function on an interval will be expanded as the sum of finite items of the scaling functions and wavelets. It plays an important role for numerical analysis of partial differential equations, signal processes, and other similar problems.
于是,任何有限区间上的函数皆可表示为该区间上的尺度函数和小波函数的有限和,即小波级数,这克服了用无穷区间上的小波进行有限信号处理时,在边界上误差较大的不足,同时将该小波用于偏微分方程具有同样重要的意义。
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Ythagorean hodograph curves enjoy a number of remarkable properties, such as, its offset curves have exact rational representations; the arc length function of a Pythagorean hodograph curve is simply a polynomial function of the curve parameter; and the lower degree Pythagorean hodograph curves have intuitive geometrical interpretation.
H曲线具有诸如有精确的有理 Offset、弧长函数可由多项式函数表示以及几何解释优美等一系列优良性质。基于复分析方法,避免了实分析讨论中出现的复杂表示及繁琐计算,构造了满足给定 C1 Hermite插值条件且以C1拼接连续的三次 PH曲线偶。该曲线偶可灵活处理拐点,从而克服了一般三次 PH曲线因恒凸而无法处理拐点的缺陷。
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The relationship between water content and suction of coastal soils could be showed by logarithmic function model, power function model, index function model. According to the correlation coefficient, the logarithmic function model was better than another two model.
对海涂土壤而言,其持水模型可表示为对数函数模型、幂函数模型、指数函数模型,这些模型都能很好地反映含水量θ与吸力S的关系,但对数函数模型要优于其它模型。
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The solution for the non-stationary system is obtained through the stationary disturbed system. The gradients of the system performances to all design variables are derived and they can be used to obtain optimal solution of the systems. More generally, if the performance of the system is a function of the solution of a set of generalized Lyapunov equation, then the gradients of the performance function to the coefficient matrices of the equation can be found in closed form.
文中显示,非静态干扰系统的解可由静态干扰系统求得,而此干扰系统之最佳解,则经由本文所推导的对所有设计变数之系统性能函数梯度获得;一般而言,如果系统之性能函数是一组通式化 Lyapunov 方程式解的函数,则此方程式的系数矩阵之性能函数梯度,可用封闭解表示之。
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Where , then is said to be differentiable at . is called the total differential of at, denoted by , i.e..
可表示为,其中,则称函数在点可微分,而称为函数在点的全微分,记作,即
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It is demonstrated that the air temperature, ground temperature and their annual ranges in the Tibetan Plateau are highly correlated with corresponding latitude, longitude and elevation.
应用曲线拟合方法将所得统计分析系数拟合成时间函数,就可将高原地区的气温和地面温度表示成统一的空间坐标和时间的函数。
- 更多网络解释与可表示的函数相关的网络解释 [注:此内容来源于网络,仅供参考]
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analytically irreducible variety:解析不可约簇
analytically independent 解析无关的 | analytically irreducible variety 解析不可约簇 | analytically representable function 解析可表示的函数
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analytically representable function:解析可表示的函数
analytically irreducible variety 解析不可约簇 | analytically representable function 解析可表示的函数 | anastigmatic 去象散的
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characteristic function:特征函数
古典集合(classical set)将元素和集合的关系,以二元逻辑(binary logic)的特徵函数(characteristic function)定义如下:在离散(discrete)的情形下,模糊集合可表示成:而在连续(continuous)的情形下,模糊集合可表示成:陈昭宏(民87)以模糊转换法分析评量用词对问卷调查之研究中,
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entire function:整函数
一个在整个复平面上全纯的函数称为整函数(entire function). "在一点a全纯"不仅表示在a可微,而且表示在某个中心为a的复平面的开邻域可微. 双全纯(Biholomorphic)表示一个有全纯逆函数的全纯函数. 定义 若U为C的开子集而f : U → C是一个函数,
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finitely representable:有限可表示的
finitely presented group 有限出现群 | finitely representable 有限可表示的 | finitely valued function 有限值函数
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finitely valued function:有限值函数
finitely representable 有限可表示的 | finitely valued function 有限值函数 | finiteness 有限性
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indicator function:指示函数
他指出,分类问题可达到的最高正确率以及利用Bagging可达到的正确率分别如式24和式25所示,其中C表示序正确(order correct)的输入集,C '为C的补集, 为指示函数(Indicator Function).
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representable function:可表示的函数
representable 可表示的 | representable function 可表示的函数 | representable functor 可表的函子
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representable functor:可表的函子
representable function 可表示的函数 | representable functor 可表的函子 | representation 表示
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representable:可表示的
representability 可表示性 | representable 可表示的 | representable function 可表示的函数