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Pixel values in an image window are taken as a realization of a BN, and the structure and parameters of BN for each texture class are then studied. The conditional distribution probability of the pixels is used as the feature for texture classification.

把纹理图像在一个窗口内各个像素的灰度值看作贝叶斯网络的一次实现,通过训练得到各类纹理所对应贝叶斯网络的结构和参数,用纹理图像像素点在网络中的条件概率分布作为特征进行纹理分类。

In the past, the confidence limit problem of three-parameter Weibull distribution has not been solved, so that the creditability of its result can not be guaranteed, that is, only the result that its creditability is equal to 50% can be obtained using old methods.

由于以往三参数威布尔分布的置信度问题一直没有解决,所以其结果的可信程度也就无法得到保证。此时,也可以说它只能给出可信程度为50%的结果。

By using a new method, the simultaneous confidence region of parameters is obtained.

研究了 Weibull分布大样本定时截尾寿命试验,利用一种新的途径给出了试验参数的近似联合置信域。

Firstly, the random scene of fire was assumed. And then according to the probability distributions of the random parameters of fire in the building, a large number of samples were obtained using mixed congruence method and inverse function method of Monte-Carlo. Finally, the performance of the samples was simulated using Ozone, and the failure probability of the structure in fire was analyzed.

该模型首先确定火灾随机场景,根据建筑物内火灾随机参数的概率分布,利用蒙特卡洛的混合同余法和反函数法产生火灾随机场景的抽样样本,然后利用OZone软件进行火灾下抽样样本的性能模拟,通过大量样本的模拟实现了结构在火灾下的失效概率分析。

The reasons are that GM (1, 1) model groups have constant coefficient properties while their parameter distribution is"grey", so they can keep original system characteristics and reflect system reality.

这是因为灰色预测法所建模型具有常系数性质,但其参数分布是"灰"的,因此可保持原系统的特征,能较好地反映系统的实际情况,故建模的精度较高。

First, a non-parametric density estimate method based on kernel function is adopted to estimate the statistic distribution of the SAR images, and then, the SAR images is segmented with Markovian contexture by maximizing a MAP estimator, taking the former estimation as its likelihood term.

该算法首先采用基于核函数的非参数方法估计SAR图像的统计分布,然后将此统计量作为图像分割的似然函数,利用马尔可夫上下文约束进行SAR图像分割。

A modified EXtrinsic Information Transfer chart method is proposed. This EXIT chart is adopted as a tool to analyze the convergence behavior and to predict the performance of turbo equalization in additive non-Gaussian impulsive noise channel.

摘要该文提出了一种改进的外信息转移图方法,可用于分析加性非高斯对称稳定分布噪声多径信道条件下Turbo均衡性能,为实际的Turbo均衡系统设计提供预估性能参数。

In accordance with discrete, non-symmetry and time-delay feedback neural networks, we provide some theoretical criteria to judge the stability for designing the networks. On continuous feedback networks, we built an algorithm to estimate the convergence region. On the HNN feedback networks, an effective optimization algorithm based on the annealing strategy and the chaotic neural network is presented, and some disciplinary conclusions are provided to guide the selection of parameters. Simulation results on benchmark problems demonstrate that the performances of our algorithm are distinctly superior to those of the classic HNN based on gradient descend and stochastic optimization methods based on probabilistic distribution.

针对离散、非对称和时延等三种类型的动态反馈网络,给出了可用于网络设计的稳定性判别准则;针对连续动态反馈网络,建立了其收敛域估计的一个算法;针对以HNN模型描述的动态反馈网络,基于退火策略和混沌神经网络提出了一种高效的优化算法,建立了可用于指导参数选择的一些规律性结论,对典型算例的仿真研究显示,改进算法在各类性能上相对基于梯度下降的传统HNN模型和基于概率分布的随机优化算法,具有明显的优越性。

If the Landweber method and pre-iteration method were convergent, the residue sequence would be monotone decreasing. By analyzing the convergence, the fact is demonstrated that for the severe ill-conditioned matrix of sensitivity coefficient, because of the limitation of the precision of the computer, the residue sequence is not monotone decreasing; thereby the reconstruction images diverge from the true distribution of the conductivity. So the generalized inverse method with threshold is established and the selection way of the regularization parameter is presented, by which the better images are reconstructed.

Landweber法和预迭代法收敛,则其残差序列单调递减,通过对它们的收敛性进行分析,证实对于病态性严重的灵敏度系数矩阵,由于受计算精度的限制,迭代过程中的残差序列不再单调递减,从而导致重建图象偏离实际电导率分布,因此作者建立了带阈值的广义逆算法,提出了规则化参数选择方法,获得了较好的图象重建质量。

To solve the problem, an adaptive adjust method for dynamic range of photon correlator was presented in this paper.

对此, 提出一种可根据被测颗粒体系的粒度分布范围变化,自适应修正测量参数进行光子相关器动态范围调整的方法。

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