Compared with the single suppo vector machine method, the support vector machine ensemble method has better classification accuracy.
模拟实验结果表明，该方法具有明显优于单一支持向量机的更高的分类准确率。
After analyzing the traditional clustering algorithms, the paper presents a new clustering ensemble method based on K-means to cluster data.
本文在分析传统聚类算法的基础上，提出了一种聚类融合算法。
Ensemble learning is a general method for classifying data streams.
对数据流分类分析的常用方法是集成学习。
After comprehending and analyzing the various classifiers and integration of multi-classifiers, a new method of multi-classifier ensemble is presented in this paper.
本文在理解和分析各种分类器以及分类器集成方法的基础上提出了一种新的多分类器集成的方法。
The Ensemble Kalman Filter (EnKF) is a powerful data assimilation method and has proven its efficiency for strongly non-linear dynamical systems but is demanding in computing power.
方法是目前在强非线性系统中应用最广泛，效果最明显的集合资料同化方法。
By ensemble average method, the concentration distribution and error threshold of quasispecies on single peak Gaussian distributed fitness landscapes were evaluated.
利用系综平均的方法，计算了在单峰高斯分布适应面上准物种的浓度分布和误差阈。
The path integral Monte Carlo method with a constant pressure ensemble is used to study the equation of state of solid hydrogen with translational and rotational degrees of freedom.
同时考虑分子的平动与转动自由度，用等温等压系综的路径积分蒙特卡罗方法研究了固体氢的状态方程。
Self consistent ensemble optimization (SCEO) method was applied to the situation considering flexible backbones to predict the three dimensional structure of interfaces of protein complexes.
将自洽系综最优化方法（SCEO）推广到主链可变的分子体系，并以此来实现蛋白质复合物结合界面的柔性优化。
The statistical ensemble is usually introduced when the macroscopic nature of body are researched in statistical method.
用统计的方法去研究物体的宏观性质，常引入统计系综。
The theory and method of neural network ensemble were studied in the given gene expression data.
以一个典型的微阵列基因表达数据集为背景研究了神经网络集成的理论和方法。
For improving the performance of multiple classifier system, a novel method of ensemble feature selection is proposed based on generalized rough set.
为改善多分类器系统的分类性能，提出了基于广义粗集的集成特征选择方法。
The method focuses on minimizing the ensemble mean square error of the estimation.
该方法可以使估计的总体均方误差最小。
For this object, a method of determining fuzzy integral density with membership matrix is proposed, and the classifier ensemble algorithm based on fuzzy integral is introduced.
给出了基于隶属度矩阵的模糊积分密度确定方法，介绍了基于模糊积分的分类器集成算法。
Then, we discuss the theory and methods of ensemble prediction and illustrate how to identify the persisting anomaly region by the ensemble integration method through a practical example.
进而讨论了集合预测的理论和方法，并通过一个实例来说明如何使用集合积分技术来识别持续异常区。
One new method for fault diagnosis of steam turbine based on kernel principal component analysis (KPCA) and multistage neural network ensemble was proposed.
提出一种基于核主元分析(KPCA)和多级神经网络集成的汽轮机故障诊断方法。
Also, the method is based on abundant theoretic evidence, and it is very simple to calculate and easy to program so, it initiates a new way to the forecast ensemble.
该方法理论依据充分，计算简单，易于编程，为预报集成开辟了一条新的途径。
Five water potential energy models have been investigated in this paper by NPT ensemble Monte Carlo method.
应用NPT系综法模拟考察了五种水的势能模型。
To extract the gear crack fault weak feature of locomotive running gear box on complex background, a new method of ensemble empirical mode decomposition (EEMD) and 1.
针对复杂背景下机车走行部齿轮箱齿轮裂纹故障微弱特征的提取问题，提出了总体平均经验模式分解(EEMD)与1。
In the negative correlation training method of ensemble networks, the correlation item is defined by means of the tar - get output or the ensemble output.
在基于负相关的神经网络群学习算法中，相关项由目标输出或网络群输出定义。
Much of the slender output of Anton Webern, one of the early adopters of the abstract 12-tone method, consists of works for small ensemble.
安东%·韦伯恩许多柔美的作品中有一种是最早吸收十二音方法的抽象作品，它包含了一些小组作品。
The method uses an ensemble of short-exposure images obtained simultaneously from multiple cameras to jointly estimate the object and the wavefront distribution on pupil.
该方法主要是利用多个图像采集装置同时采集的一对或者多对短曝光图像，对目标和光瞳上的波前相位分布进行估计。
Considering the tunneling effect and the Schottky effect, the metal semiconductor contact is simulated by using self consistent ensemble Monte Carlo method.
运用自洽的蒙特卡罗方法模拟了肖特基接触的隧穿效应。
Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field.
多分类器组合是解决复杂模式识别问题的有效办法。
Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field.
多分类器组合是解决复杂模式识别问题的有效办法。
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