似然函数

The real-time learning ability and the fast convergence of the recurrent network model of nonlinear dynamical system have been obtained by introducing the forgetting factor in the objective function and the maximum likelihood estimation principle.

本算法在目标函数中引入了遗忘因子，并借助于非线性系统的最大似然估计原理成功地解决了动态非线性系统回归神经网络模型权系数学习的实时性和快速性问题。

The parallelepiped classifier,minimum distance classifier,Maximum Likelihood Classifier,Neural network and,especially,the newly developed Support Vector Machines were assessed in the object-based image analysis of VHSR data. The impacts of kernel configuration on the performance of the SVM and of the selection of training data of the four classifiers were also evaluated.

对比研究了平行六面体、最近邻分类法、最大似然法、神经网络等经典分类算法以及近年来新发展的支持向量机分类算法在基于分割对象的高分辨率遥感图像分类中的性能，详细分析了不同内积核函数对于支持向量机分类的影响。

Integral equation was used 10 calculate the expected duration of stay among four states. Probability generating function was used to get the expected number of patients among four states.

运用最大似然方法估计各状态间的转移强度，利用微分方程推导各状态间的转移概率，并应用积分推导了患者在各个状态的期望逗留期以及利用概率生成函数推得每一状态的期望患者数。

The dynamic performance and relative stability were analyzed, and the simulation results was compared with least square method.

研究结果不仅验证了仿真控制函数的可用性，而且论证了极大似然法在飞行器参数辨识中的优势。

Furthermore that the square measure error is not depending on the choice of generalized matrix inverses is proved. Finally the least square estimation and the maximum likelihood estimation for this model are proposed.

在此基础上对奇异度量误差下的函数关系模型的参数进行估计，得出了模型参数的最小二乘估计和极大似然估计。

Firstly, the target vector is transformed to the state with minimization of cross-polarization; then the parameters u/v/H are used to characterized scattering mechanism, and the fuzzy membership is adopted instead of "hard" division of parameter plan; finally, characterizing the coherency matrix as multivariable complex Wishart distribution, the polarimetric SAR image is classified based on Bayes maximum likelihood criteria.

该文提出了一种新的非监督分类算法，该算法首先根据去取向理论，将目标向量旋转到最小交叉极化方向；然后，采用u/v/H参数描述散射机制，以模糊隶属函数代替参数平面的"硬"阈值划分；最后，以多元复Wishart分布描述相干矩阵，基于Bayes极大似然分类准则进行分类。

This method utilizes the distribution property of image intensity. Given the false alarm probability, the threshold for likelihood difference can be determined.

该方法利用SAR图像的强度分布特性，根据虚警率确定相邻区域之间存在边界的似然差函数的阈值。

This method utilizes the distribution property of image intensity. Given thefalse alarm probability, the threshold for likelihood difference can be determined.

该方法利用SAR图像的强度分布特性，根据虚警率确定相邻区域之间存在边界的似然差函数的阈值。

Analyze: due to different duration of speech materials for training, Baum auxiliary function results in that larger duration indicates the smaller output probability likelihood, that is, speech signals of different duration contributes differently according to re-estimation formulas.

分析：由于训练语料不同的时长，Baum辅助函数的引入使得时长较长的语料具有较小的输出概率似然，导致不同时长的训练语料对模型训练的贡献不同。

The parameters of the UNIQUAC equation for completely miscible pairs (PO-PA, PO-DCP, and PA-DCP), were calculated from the isobaric t x data by the minimisation of the objective function F: using the maximum likelihood method.

参数的UNIQUAC方程为完全互溶双（保坝，蒲应课税品许可证，并坝应课税品许可证），分别计算出等压的TX数据所减少的目标函数f：利用最大似然法。

Chrysanthemum of 10 thousand birthday is lax to edaphic requirement, with the arenaceous qualitative loam with fecund, good drainage had better.

万寿菊对土壤要求不严，以肥沃。排水良好的砂质壤土为好。

He unstepped the mast and furled the sail and tied it.

他拔下桅杆，把帆卷起，系住。