1) linearized maximum-likelihood method
线性化极大似然法
2) maximum likelihood method
极大似然法
1.
Genetic analysis for restoring genes of wild-abortive type Indica hybrid rice by maximum likelihood method;
利用极大似然法分析野败型杂交籼稻恢复基因的遗传
2.
The maximum likelihood function of the fatigue life was proposed based on the maximum likelihood principle, and it was born out that the maximum likelihood method could be used for the fatigue analysis.
结果表明 ,用极大似然法研究含未焊透缺陷焊接接头的疲劳性能 ,减少了试验工作量和试验费用 ,而且试验数据可靠 ,极具推广价
3.
This algorithm combines the global search ability of genetic algorithm and local search ability of maximum likelihood method,which makes the hybrid genetic algorithm unaffected by the initial value assignment of maximum likelihood method,and solves the problem of the low convergence rate and low convergence precision of genetic algorithm.
该方法结合了遗传算法的全局寻优能力和极大似然法的局部寻优能力,使得混合遗传算法不受极大似然法初值选取的影响,同时也解决了遗传算法收敛速度慢和收敛精度较低的问题。
3) maximum likelihood
极大似然法
1.
The algorithm first builds the set of candidate targets using the measurements from multiple sensors in multiple sampling periods and estimates the initial states of candidate targets using the maximum likelihood method.
该算法利用多传感器多采样周期测量建立候选目标集,用极大似然法估计候选目标的状态;采用Hough变换建立参数空间直方图,并对参数空间直方图聚类实现航迹探测;建立目标初始方位角直方图和目标速度直方图,分别对两个直方图聚类实现目标探测;找出与目标相关的测量,利用这些测量估计目标的状态。
2.
In this paper,a novel robust BP neural network based on the maximum likelihood method is presented.
提出了一种新的基于极大似然法的BP神经网络算法,该算法定义了一种新的误差函数。
3.
The maximum likelihood was introduced into the traditional BP algorithm for the sake of estimating the noise distribution during the network approaching of the training sample.
本文提出了一种新的基于极大似然法的椒盐噪声滤波算法。
4) maximum likelihood estimation
极大似然法
1.
Life prediction for vacuum fluorescent display using maximum likelihood estimation
基于极大似然法的真空荧光显示器寿命预测研究(英文)
2.
The algorithms used in maneuvering target tracking can be classified as methods based on maximum likelihood estimation and methods based on Bayesian estimation.
机动目标跟踪算法可以划分为两种:极大似然法和贝叶斯估计法,前者通过对目标量测序列的分析,采用与当前目标运动模式匹配度最高(极大似然性)的模型(包括系统模型和观测模型)对目标状态进行跟踪和估计;后者则首先假定一组模型,再根据量测序列进一步估计出其中每个模型的匹配概率,最后采用贝叶斯公式对全部或部分模型估计进行综合。
5) approximate maximum likelihood method
近似极大似然法
1.
An approximate maximum likelihood method is adopted for estimating ARMAX model parameters.
采用近似极大似然法估计ARMAX模型系数 ,克服了传统极大似然估计方法的高度计算复杂性 ,需要对参数的初值进行猜测的缺点。
6) maximum likelihood linear regression (MLLR)
极大似然线性变换
1.
The algorithm can be regarded as the improvement of maximum likelihood linear regression (MLLR) using the generation of regression class trees for model adaptation.
本文在对语音识别中基于自适应回归树的极大似然线性变换 (MLLR)模型自适应算法深刻分析的基础上 ,提出了一种基于目标驱动的多层MLLR自适应 (TMLLR)算法。
补充资料：修然
1.整饬貌;严正貌。 2.形容水声。 3.长貌。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条