混合模型

混合模型则完全依赖于Internet。

The hybrid model is wholly dependent on the Internet .

基于UML的软件可靠性测试用例生成的混合模型

UML Based Hybrid Model for Generation of Software Reliability Test Cases

高斯混合模型改进的活动轮廓模型MRI分割

MRI Segmentation via Active Contour Model Improved with Gaussian Mixture Model

格点规范理论中SU（2）混合模型的变分&累积量展开处理

Variational-cumulant expansion treatment of su ( 2 ) mixed model in lattice gauge theory

Dirichlet过程混合模型SAR图像分割算法

Dirichlet process mixture model SAR image segmentation algorithm

元胞自动机FI和NS交通流混合模型的研究

Study of a Cellular Automaton FI-and-NS Mixed Model for Traffic Flow

基于Gaussian混合模型的LSF参数量化方法

Quantization of LSF parameters using a Gaussian mixture model

电磁暂态计算中MOA的线性和非线性混合模型

Linear and Nonlinear MOA Modeling of Electro Magnetic Transient Behavior

在转移-混合模型下Fibonacci点阵的电子性质

Electronic properties of Fibonacci lattices for transfer-mixture model

以UML为建模语言，分析、设计开发了一个基于java技术的分布式的多层混合模型的网络考试系统。

To take UML as model language , a distributed , multi - leveled , compounding model network test system based on java technique is analyzed and developed .

运用格网和TIN混合模型的方法模拟地形表面，在局部格网中构建TIN时，数据内插点按照地下管线分布情况来确定。

Combining Grid with TIN to simulate terrain . When constructing TIN in local grid , the data is interpolated according to the distribution of underground pipeline .

基于DTW和LVQ网络混合模型的语音识别方法

Speech Recognition Method Based on Hybrid Model of Dynamic Time Warping and Learning Vector Quantization

基于混合模型CHMM和MLP的数码语音识别系统

Digital Speech Recognition System Based on Hybrid Model of CHMM and MLP

通过EM算法拟合有限混合模型；我们也考虑到了混合模型的Balyes估计和利用其它的一些随机算法的估计；

The actual fitting of finite mixtures through use of the EM algorithm and we also consider the Bayesian estimation of mixture models and others random algorithms ;

BLUP中混合模型方程组的间接解法

The indirect solution of mixed model equations in BLUP

通过高斯混合模型拟合图像直方图，使用EM算法估计高斯参数，进而将图像分割成区域。

This paper will use Gaussian Mixed Model to fit image histogram and EM algorithm to estimate Gaussian parameters , thus to segment an image into some regions .

对VAR模型、交互影响的多元回归与多元时序混合模型、时间序列联立方程模型进行了改进，提出一个新模型。

Firstly , we improve interactional multivariate regression and multivariate time series model , the VAR model and the time series simultaneous system model to present a new model .

其次以该混合模型为基础建立存储体性能目标函数，采用仿生优化算法&蚂蚁算法优化嵌入式SRAM结构，使之达到最优设计；

Secondly , based on embedded SRAM performance hybrid model , this article adopts bionics algorithm-ant algorithm to optimize hierarchical embedded SRAM structure .

混合模型的存储空间需求为O（N2），而2阶Markov模型为O（N3）。

And the memory demand of the hybrid Markov model is O ( N2 ) while order-2 Markov model is O ( N3 ) .

采用的方法分别是矢量量化（VQ）识别方法、隐马尔可夫模型（HMM）识别方法、高斯混合模型（GMM）识别方法。

They are Vector Quantization ( VQ ), Hidden Markov Models ( HMM ) and Gaussian Mixture Models ( GMM ) speaker identification respectively .

通过分析GMM（高斯混合模型）的说话人辨认系统的性能，提出了一种捕捉不同说话人交互信息的人工神经网络（ANN）方法，构成一个GMM/ANN混合说话人辨认系统。

An inter-speaker information ANN method is proposed , analyzing GMM model speaker identification system performance , and a hybrid GMM / ANN speaker identification system is structured .

其次，在混合模型下构造了UC安全的可信网络连接协议TK-TNC。

Then , a UC secure Trusted Network Connect proto-col named TK-TNC is constructed .

提出一种混合模型，即将隐马尔可夫模型（HMM）和小波神经网络（WNN）相结合应用于说话人识别的模型。

A hybrid model was presented for speaker recognition by using the combined hidden Markov models ( HMM ) and wavelet neural network ( WNN ) .

本文利用二元混合模型讨论了壳幔物质的不同混合环境对Rb-Sr等时线年龄的影响。

The effect of different crust-mantle mixing environments on Rb-Sr isochron ages is discussed in terms of a two-component mixing model .

提出了一种基于高斯核函数有不同协方差的混合模型的异方差PNN模型及其算法。

The heteroscedastic PNN model with training algorithms that is a mixture of Gaussian basis functions having different variances is considered .

本文对标量场的各向异性、标量和标量耗散率的概率密度函数（PDF）、标量场的空间结构及演化过程、还有标量小尺度混合模型等几个方面进行综述。

This paper gives a review of the recent developments , including the anisotropy of passive scalar field , PDF of scalar and scalar dissipation , dynamics of small-scale structure and scalar mixing model etc.

该模型采用小波变换对月度CO2排放数据进行分解，在剔除随机性波动后，用RBF网络和混合模型分别对规律性波动趋势和长期增长趋势进行建模预测。

This model used the wavelet transform to decompose the trend data . After eliminating the stochastic series , the rising trend and the periodic waves were modeled by the hybrid model and the RBF neural networks , separately .

盲源分离（BSS）是一种多维信号处理方法，它指在未知源信号以及混合模型也未知的情况下，仅从观测信号中恢复出源信号各个独立分量的过程。

Blind source separation ( BSS ) is a multi-dimensional signal processing method , is the process of recovering each individual component of source signals which is under the situation of unknowing source signals and mixed models .

高斯混合模型（GMM）仅采用时域信息，而该方法能够充分利用图像的时空域信息，从而弥补了GMM对复杂背景建模的不足，有效的提高了分割的准确性。

This algorithm makes full use of the spatial information of image to make up for the shortcomings of complex background of Gaussian mixture model which only uses the time domain information , and improves the accuracy of segmentation effectively . 3 .

一个简化的柴油喷雾两相流蒸发混合模型

A Simplified Vaporizing and Mixing Model for Diesel Spray Two-Phase Flow