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1.
本本文给出了一种运用正交表变换来得到2阶相关免疫函数的特征矩阵的新方法,构造出10个不同的(8,4,2,2)特征矩阵,得到了几个相关结论。  相似文献   

2.
相关免疫函数阶的判别方法   总被引:2,自引:0,他引:2  
在密码学中,为了抵抗相关攻击,要求选用的布尔函数具有相关免疫性,高阶的相关免疫函数都是一阶的,一阶的却不一定是高阶的,本文给出了二种判断一阶相关免疫函数是否为二阶或更高阶的新方法.  相似文献   

3.
Pr值逻辑函数相关免疫的等价判别条件   总被引:2,自引:0,他引:2  
杨锐  曾本胜  李世取 《应用数学》2006,19(1):139-144
本文首先基于环Zpr中的元的padic分解并结合概率论的思想,给出了pr值随机变量的分解性质及pr值随机变量独立性的等价描述,然后在对pr值逻辑函数及其变元都进行padic分解的基础上,直接通过p值逻辑函数的Chrestenson谱给出了padic分解意义下pr值逻辑函数k阶相关免疫的线性组合引理和谱判别定理.  相似文献   

4.
基于错误逻辑相似转化联结词,给出了错误逻辑命题的论域、事物、空间、特征、量值、错误值、规则、错误函数、时间等参数的相似变换矩阵定义.文中给出了形式上为T(C_1)=C_2的相似变换错误矩阵方程模型.针对电子商务网购用户评价的网上抓取数据,定义了从包含若干无效评价的大集合向有效小集合变换的错误矩阵模型.模型是基于错误逻辑理论,从已知转化系数矩阵T,以及初始错误矩阵,向未知目标集合进行相似变换的知识推理探索.  相似文献   

5.
文章定义了m值逻辑函数在Dznm上的Chrestenson变换,并考察了这类变换的性质,在此基础上提出了对m值逻辑函数进行多分块仿射逼近的方法,并分析了这种方法的优越性。特别地,重点给出了布尔函数的多分块仿射逼近,并用此方法得到了文献[2]所给出的最大相关子。  相似文献   

6.
A-Parseval框架小波的特征刻画   总被引:1,自引:1,他引:0  
研究与伸缩矩阵A相关的Parseval框架小波(A-PFW)的特征刻画,其中伸缩矩阵A满足A~3=2I_3且A的每一列元素之和均为偶数.首先,讨论了与两个特殊伸缩矩阵B,C相关的Parseval框架小波(B-PFW,C-PFW)之间的关系,并得到C-PFW分别与两类特殊伸缩矩阵D,■相关的Parseval框架小波(D-PFW,■-PFW)之间的等价关系.其次,探讨了伪尺度函数和源于多分辨分析的A-PFW(MRA A-PFW)的特征刻画.最后,借助于维数函数,给出了A-PFW是MRA A-PFW的一个充要条件.  相似文献   

7.
本文研究了参数连续Markov链中转移函数的逼近.运用算子半群方法,讨论了q-矩阵的截断矩阵对应Q-函数的收敛问题;引进q-矩阵的Yosida逼近矩阵,证明了任意Q-过程可以由一列有界Q-过程逼近.并给出了最小Q-函数收敛的q-矩阵条件.推广了相关工作.  相似文献   

8.
本文研究了与矩阵Γ分布相关的若干分布的密度函数,利用矩阵Γ分布的特征函数和它的Bartlett分解等方法,获得了与矩阵Γ分布相关的几个分布的密度函数解析表达式,它们包括Γ分布随机矩阵的子矩阵、行列式、迹和特征根的分布密度,进一步还得到了相关系数矩阵的分布密度函数形式.  相似文献   

9.
在前期研究的基础上,对错误矩阵的概念作一个介绍,在此基础上,且对于矩阵的每一行又恰好是一个模糊错误逻辑命题.因为构成这类模糊错误矩阵的元素是集合,所以这类模糊错误矩阵之间一般是集合关系式,而不只是通常方程的等式,研究这一类模糊错误矩阵方程解的存在性,求解的方法等是理论与实践的需要.以XA■B研究对象,研究得到模糊错误矩阵集合方程XA′=B解的存在性及给出求解的例子.  相似文献   

10.
基于双向加细小波函数和双向小波尺度函数,给出了矩阵伸缩的双向小波的定义;给出矩阵伸缩的多分辨分析,并给出矩阵伸缩的小波的正交条件,得到矩阵伸缩的双向小波包;并得到相关性质和结论.  相似文献   

11.
We investigate the second-order correlation function of the characteristic polynomial of a sample covariance matrix. Starting from an explicit formula for a generating function, we reobtain several well-known kernels from random matrix theory.  相似文献   

12.
In this paper, we show that quantum logic of linear subspaces can be used for recognition of random signals by a Bayesian energy discriminant classifier. The energy distribution on linear subspaces is described by the correlation matrix of the probability distribution. We show that the correlation matrix corresponds to von Neumann density matrix in quantum theory. We suggest the interpretation of quantum logic as a fuzzy logic of fuzzy sets. The use of quantum logic for recognition is based on the fact that the probability distribution of each class lies approximately in a lower-dimensional subspace of feature space. We offer the interpretation of discriminant functions as membership functions of fuzzy sets. Also, we offer the quality functional for optimal choice of discriminant functions for recognition from some class of discriminant functions.  相似文献   

13.
A note on biorthogonal ensembles   总被引:1,自引:0,他引:1  
We study multiple orthogonal polynomials in the context of biorthogonal ensembles of random matrices. In these ensembles, the eigenvalue probability density function factorizes into a product of two determinants while the eigenvalue correlation functions can be written as a determinant of a kernel function. We show that the kernel is itself an average of a single ratio of characteristic polynomials. In the same vein, we prove that the type I multiple polynomials can be expressed as an average of the inverse of a characteristic polynomial. We finally introduce a new biorthogonal matrix ensemble, namely the chiral unitary perturbed by a source term, whose multiple polynomials are related to the modified Bessel function of the first kind.  相似文献   

14.
In this paper, we propose a fuzzy logic based guaranteed cost controller for trajectory tracking in nonlinear systems. Takagi–Sugeno (T–S) fuzzy model is used to represent the dynamics of a nonlinear system and the controller design is carried out using this fuzzy model. State feedback law is used for building the fuzzy controller whose performance is evaluated using a quadratic cost function. For designing the fuzzy logic based controller which satisfies guaranteed performance, linear matrix inequality (LMI) approach is used. Sufficient conditions are derived in terms of matrix inequalities for minimizing the performance function of the controller. The performance function minimization problem with polynomial matrix inequalities is then transformed into a problem of minimizing a convex performance function involving standard LMIs. This minimization problem can be solved easily and efficiently using the LMI optimization techniques. Our controller design method also ensures that the closed-loop system is asymptotically stable. Simulation study is carried out on a two-link robotic manipulator tracking a reference trajectory. From the results of the simulation study, it is observed that our proposed controller tracks the reference trajectory closely while maintaining a guaranteed minimum cost.  相似文献   

15.
The correlation matrix (denoted by R) plays an important role in many statistical models. Unfortunately, sampling the correlation matrix in Markov chain Monte Carlo (MCMC) algorithms can be problematic. In addition to the positive definite constraint of covariance matrices, correlation matrices have diagonal elements fixed at one. In this article, we propose an efficient two-stage parameter expanded reparameterization and Metropolis-Hastings (PX-RPMH) algorithm for simulating R. Using this algorithm, we draw all elements of R simultaneously by first drawing a covariance matrix from an inverse Wishart distribution, and then translating it back to a correlation matrix through a reduction function and accepting it based on a Metropolis-Hastings acceptance probability. This algorithm is illustrated using multivariate probit (MVP) models and multivariate regression (MVR) models with a common correlation matrix across groups. Via both a simulation study and a real data example, the performance of the PX-RPMH algorithm is compared with those of other common algorithms. The results show that the PX-RPMH algorithm is more efficient than other methods for sampling a correlation matrix.  相似文献   

16.
In this paper, to test goodness of fit to any fixed distribution of errors in multivariate linear models, we consider a weighted integral of the squared modulus of the difference between the empirical characteristic function of the residuals and the characteristic function under the null hypothesis. We study the limiting behaviour of this test statistic under the null hypothesis and under alternatives. In the asymptotics, the rank of the design matrix is allowed to grow with the sample size.  相似文献   

17.
多值逻辑是人工智能中一个重要的研究方向。为了进一步深入研究多值逻辑,特别是真值基于格上的多值逻辑,文献「1」提出并提建立了格蕴涵代数这一逻辑代数结构,进而研究了对应的格值逻辑系统。本文则集中讨论了一类较特殊但也较广泛的格蕴涵代数,即内射的格蕴涵代数,深入探讨了这类代数和一些性质并给出了其特征结构的刻画。  相似文献   

18.
An important approach to decision modeling is the induction of knowledge structures—such as rules, trees, and graphs—from empirical data describing previous conditions and the resulting decisions. We examine here a specific knowledge structure, a logic tree, in which the conditions are leaves, the decision is the root, and the intermediate nodes are logical operators. We then use genetic algorithms (GAs) to construct logic trees that best represent the correspondence between conditions and decisions described by the empirical data. We also investigate an important characteristic of the GA search, the fitness distance correlation. Finally, we comment on the usefulness of GAs in knowledge modeling.  相似文献   

19.
模糊Hopfield网络及其模糊聚类功能研究   总被引:3,自引:0,他引:3  
本文提出了一种能进行模糊逻辑计算的Hopfiled型人工神经元网络,FuzzyHN的神经元对应模式集合中的元素,模式间的模糊相似关系作为联结神经元的权值矩阵被存储在FuzzyHN中。本文对FuzzyHN的稳定性及模糊聚类功能进行研究,获得了良好的理论分析结果和实验研究结果。  相似文献   

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