A method of speaker recognition based on sub-band processing and multi-classifier combination is presented.
提出了一种基于子带处理多分类器融合的说话人识别方法。
This paper analyzes the factors affecting the accuracy of classifier, and designs three methods combining multi-classifier based on their performance on test corpus.
本文分析了影响分类器精度的因素，并提出了三种基于在测试例集上分类表现效果的多分类器融合方法。
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 objective of multi-classifier combination is to make use of each classifier"s good qualities in recognition performance and gains higher recognition rate than each classifier."
多分类器组合的目的是希望能够充分发挥每个分类器在各自分类性能上的长处，以获得比任何单独分类器都要高的识别率。
A new type of multi stage cone spiral classifier was developed.
研制了一种新型多段圆锥螺旋分级机。
Several SVM classifiers are used to make a multi-classes classifier for modulation identification.
使用多个支撑矢量机分类器构成一个多类分类器用于多类信号的调制识别。
By experiments, the method can be used as classifier when the multi-parameters are dynamic correlation, and it has special use in the field of information fusion.
通过若干应用例子测试表明，该方法适用于具有多元动态相关特征问题的分类，在信息融合领域中有独到的用处。
In order to improve the aviation structure's damage identification accuracy and rate, a multi-agent decision fusion based on the mutual information classifier selection is proposed in this paper.
为了提高航空结构的损伤识别精度和速度，提出了一种基于互信息分类器选择的多主体决策融合方法。
An improved design method on pattern classifier based on multi-layer perceptrons (MLP) by means of minimum classification error (MCE) training was proposed.
提出了一种基于最小分类错误(MCE)训练的采用多层感知器(MLP)结构的模式分类器设计方法。
Then we review multi-class classifiers commonly adopted and propose a multi-class classifier based on analytical center of version space.
同时在分析现有多类分类机器不足的基础上，提出了一种基于可行域解析中心的多类分类器。
The results show that the aircraft spare parts multi-class classifier is efficient and feasible.
结果表明，基于最小二乘支持向量机的飞机备件多元分类方法是有效、可行的。
This paper proposes an image multi-orthogonal projection method for face recognition based on least class distance classifier.
论文提出了基于图像多路正交投影和最小距离分类器的人脸识别方法。
Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.
充分利用了神经网络极强的模式分类能力，用神经网分类器对故障信号进行多参量识别。
ICF can classify unknown samples as the traditional classifier. It also has some functions such as multi-experts decision, pre-classifying and learning.
智能分类器不但可以对未知样本进行分类识别，还具有多专家决策、预分类、学习等功能。
The twin screw extruder fault diagnosis by multi-fault classifier based on SVM is mainly discussed and the retest proves that this SVM really has preferable ability of classification.
诊断实例表明，基于支持向量机的多故障分类器对设备故障具有很好的分类效果。
A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.
提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法；以二值分类为基础，开发了基于支持向量机的多值分类器。
The test shows that multi-scale Lempel-Ziv complexity can be used as an image classification method or as a feature of image classifier.
该结果说明：不同尺度下复杂性的差异可以作为图像分类的新方法或者作为现有分类器的特征。
The concept of attribute similarity is presented to solve the weight problem of multi-dimension object classification, and cloud classifier based on attributes similarity is presented also.
提出了属性相似度概念解决高维对象分类的权重问题，并结合云理论建立了基于属性相似度的云分类器。
A novel multi-class classifier with kernels, namely kernel Subspace Methods (KSPM), was presented, and a multi-fault classifier based on the algorithm was constructed.
提出了一种基于核的多类别模式识别算法(简称核子空间法，KSPM)，依据此算法建立了多故障分类器。
Training the multi-fault classifier only needs a small quantity of fault data samples in time domain, and does not need signal preprocessing for extracting signal features.
应用结果表明，不必进行信号预处理以提取特征量，只需要用少量的时域故障数据样本建立故障分类器。
Training the multi-fault classifier only needs a small quantity of fault data samples in time domain, and does not need signal preprocessing for extracting signal features.
应用结果表明，不必进行信号预处理以提取特征量，只需要用少量的时域故障数据样本建立故障分类器。
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