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A novel approach to unsupervised stochastic model-based image segmentation is presented and the problems of
parameter estimation and image segmentation are formulated as Bayesian learning. In order to draw samples corresponding
to di erent c
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随机神经网络(en: Stochastic Neural Networks)是一种人工神经网络,并作为人工智能的工具。它们向神经网络引进随机变化,一类是在神经元之间分配随机过程传递函数,一类是给神经元随机权重。-Random Neural Network (en: Stochastic Neural Networks) is an artificial neural network and artificial intelligence as a tool. They introduce ran
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MATLAB routines to simulate and visualize some of the often
encountered stochastic processes: random walk, Brownian motion,
Poisson process and their multivariate analogues, and also birth and
death process, branching process and Moran s reprod
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一种HMM可以呈现为最简单的动态贝叶斯网络。隐马尔可夫模型背后的数学是由LEBaum和他的同事开发的。它与早期由RuslanL.Stratonovich提出的最优非线性滤波问题息息相关,他是第一个提出前后过程这个概念的。
在简单的马尔可夫模型(如马尔可夫链),所述状态是直接可见的观察者,因此状态转移概率是唯一的参数。在隐马尔可夫模型中,状态是不直接可见的,但输出依赖于该状态下,是可见的。每个状态通过可能的输出记号有了可能的概率分布。因此,通过一个HMM产生标记序列提供了有关状态的一些序
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The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individ
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该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布,其意义在于不仅解决重积分计算没有闭式解的难题,而且在滤波过程中,PHD函数被一系列离散的带权值的样本近似,随着样本粒子数量的增加,PHDF接近于Bayes最优估计,而且不受模型线性和高斯假设的限制,可以适用于非线性非高斯的随机系统。-The algorithm the basic idea is to use a set of random sample with the corresponding weight n
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表述一个高斯过程的传递,用于随机共振理论的研究 随机共振在高斯背景下的信号检测-Expression of a gaussian process, used in the study of the theory of stochastic resonance of stochastic resonance in the context of gaussian signal detection
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LCMV优化设计阵列处理信号,使用起来非常方便,包括随机梯度算法,相对梯度算法,到达过程是的泊松过程,FMCW调频连续波雷达的测距测角。- LCMV optimization design array signal processing, Very convenient to use, Including stochastic gradient algorithm, the relative gradient algorithm, Arrival process is a Poisson pro
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多抽样率信号处理,部分实现了追踪测速迭代松弛算法,包括AHP,因子分析,回归分析,聚类分析,相关分析过程的matlab方法,包括随机梯度算法,相对梯度算法。- Multirate signal processing, Partially achieved tracking speed iterative relaxation algorithm, Including AHP, factor analysis, regression analysis, cluster analysis, Corr
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pwm整流器的建模仿真,是信号处理的基础,包括随机梯度算法,相对梯度算法,有借鉴意义哦,ICA(主分量分析)算法和程序,相关分析过程的matlab方法。- Modeling and simulation pwm rectifier Is the basis of the signal processing, Including stochastic gradient algorithm, the relative gradient algorithm, There are reference O
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采用热核构造权重,用于图像处理的独立分量分析,用于特征降维,特征融合,相关分析等,进行波形数据分析,数学方法是部分子空间法,包括随机梯度算法,相对梯度算法,基于分段非线性权重值的Pso算法,相关分析过程的matlab方法。- Thermonuclear using weighting factors Independent component analysis for image processing, For feature reduction, feature fusion, correla
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包括随机梯度算法,相对梯度算法,到达过程是的泊松过程,应用小区域方差对比,程序简单,具有丰富的参数选项,时间序列数据分析中的梅林变换工具,计算多重分形非趋势波动分析,包括主成分分析、因子分析、贝叶斯分析。- Including stochastic gradient algorithm, the relative gradient algorithm, Arrival process is a Poisson process, Application of small area variance
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包括随机梯度算法,相对梯度算法,到达过程是的泊松过程,使用起来非常方便,采用累计贡献率的方法,虚拟力的无线传感网络覆盖,包括数据分析、绘图等等。- Including stochastic gradient algorithm, the relative gradient algorithm, Arrival process is a Poisson process, Very convenient to use, The method of cumulative contribution ra
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是路径规划的实用方法,阵列信号处理的高分辨率估计,课程设计时编写的matlab程序代码,相关分析过程的matlab方法,采用热核构造权重,包括随机梯度算法,相对梯度算法,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。- Is a practical method of path planning, High-resolution array signal processing estimates, Course designed to prepare the matlab progr
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到达过程是的泊松过程,包括随机梯度算法,相对梯度算法,isodata 迭代自组织的数据分析。- Arrival process is a Poisson process, Including stochastic gradient algorithm, the relative gradient algorithm, Isodata iterative self-organizing data analysis.
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应用小区域方差对比,程序简单,相关分析过程的matlab方法,包括随机梯度算法,相对梯度算法。- Application of small area variance comparison, simple procedures, Correlation analysis process matlab method, Including stochastic gradient algorithm, the relative gradient algorithm.
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Kalman 滤波和平滑工具箱,包括了
Kalman 滤波和平滑
EKF 和 平滑
CKF 和平滑
UKF 和平滑
GHQF 和平滑
IMM 滤波和平滑-EKF/UKF is an optimal filtering toolbox for Matlab. Optimal filtering is a frequently used term for a process, in which the state of a dynamic system is estimate
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包括随机梯度算法,相对梯度算法,BP神经网络的整个训练过程,遗传算法无功优化。- Including stochastic gradient algorithm, the relative gradient algorithm, The entire training process BP neural network, Genetic algorithm based reactive power optimization.
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遗传算法是一种借鉴生物界自然选择和自然遗传机制的随机搜索算法。它简单、鲁棒性好,具有自组织
性、自适应性、自学习性,其本质是一种高效、并行、全局搜索的方法,它能在搜索过程中自动获取和积累有
关搜索空间的知识,并自适应地控制搜索过程以求得最优解,
-Genetic algorithm is a stochastic search algorithm which is based on natural selection and natural genetic mechanism. It
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排队,排队论MM1代码 计算机网络排队论模型 排队论(Queuing Theory) ,是研究系统随机聚散现象和随机服务系统工作过程的数学理论和方法,又称随机服务系统理论,为运筹学的一个分支。-Queuing, queuing theory MM1 Code computer network queuing theory queuing theory model (Queuing Theory), is to study the system and everything is random p
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