• 研究基于模糊系数规划模糊支持向量分类

    Research on the fuzzy SVMs based on fuzzy coefficient programming.

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  • 论文研究模糊支持向量分类冠心病诊断中的应用

    In this paper, we have studied on applying fuzzy support vector classification to coronary heart diagnose.

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  • 并且分别详尽的阐述支持向量分类支持向量回归理论思想计算步骤优化算法

    It also elaborates the ideas, counting steps and optimize algorithm of support vector classification and regression.

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  • 给出带有模糊决策模糊机会约束规划模型基础研究模糊线性支持向量分类机(算法)模糊线性支持向量回归机(算法)。

    Proposed the model of fuzzy chance constrained programming with fuzzy decision, and did some research on fuzzy linear support vector regression (algorithm) on this base.

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  • 大部分数字识别工作可以由神经网络来完成最近支持向量被证明可以分类方面做得更好

    Much of the work on digit recognition has been done in the neural network community, but more recently support vector machines have proven to be even better classifiers.

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  • 本文首次采用支持向量方法医学图像进行了分类研究

    This paper firstly investigates the application of support vector machines for medical image classification.

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  • 本文主要研究目前较为流行的基于统计学习理论分类方法——支持向量方法(SVM),以及小变换提取特征的方法,将用于人脸检测

    This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.

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  • 采用多分辩率分析方法提取基因表达特征利用支持向量BP神经网络方法进行分类

    The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.

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  • 目的:探讨先验知识支持向量(P-SVM数据挖掘算法中医证候信息自动分类中的应用

    The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.

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  • 论文支持向量引入动态电能质量分类问题中。

    This paper presents a Support Vector Machine (SVM) method for classification of dynamic power quality disturbances.

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  • 在此基础研究用球结构支持向量分类器,对滚动轴承故障劣化程度进行识别理论方法

    Basing on these, study theory and method of using Sphere-structured Support Vector Machines to recognize the roll bearing inside track's fault deterioration extent.

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  • 实验结果表明采用支持向量机方法进行变异语音分类可行的。

    Experimental results indicate that it is feasible to adopt SVMs for stressed speech classification.

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  • 最后一个主题将讲解支持向量分类核心使用的可训练物件侦测系统

    The last topic is about a trainable object detection system using at its core a Support Vector Machine classifier.

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  • 首先利用色度提取植物病害叶片特征向量然后利用支持向量分类方法进行病害的识别

    At first extracting features of chromaticity moments was done then classification method of SVM for recognition of plant disease was discussed.

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  • 目前支持向量模式识别函数逼近数据挖掘文本自动分类中均好的应用

    Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.

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  • 支持向量多元分类中的应用进行了讨论,并给出了实例。

    We also discussed the application of support vector machine in multivariate classification with some examples.

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  • 提出基于支持向量分类原理鸢尾属植物进行分类方法

    This article presents a new method of plant classification of iris based on the support vector machine classification principle.

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  • 论文支持向量机器学习方法引入医学图像分类问题

    In this thesis, SVM as a new machine learning method is brought into medical image classification.

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  • 然后基于支持向量进行分类建模预测过程。

    Then, we implement classification modeling and forecast based on SVM.

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  • 基于平衡数据支持向量分类模型提出了一种银行客户个人信用预测方法

    A new predication method of customer credit of Banks is proposed based on the support vector domain classification model of non-balance data set.

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  • 该文介绍了一种文本过滤算法,该算法把基于空间向量模型主题分类算法基于支持向量文本态度分类结合起来。

    This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.

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  • 一方法大大提高支持向量分类泛化能力,从而大大提高了支持向量机的应用范围

    This approach greatly improves the generalization ability of SVM classification and its application area is extended.

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  • 然后基于支持向量算法构造支持向量分类器,将其用于心电图分类,取得了较高准确率。

    Then a support vector machine classifier is constructed and applied to ECG classification. Comparing with the classification of ECG by eyes, the classification results is much more precise.

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  • 介绍支持向量分类回归算法,将应用于梁结构损伤诊断中。

    This paper introduces the support vector classification and regression algorithms, which are applied to the structure damage identification.

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  • 为了一般增量学习算法扩展并行计算环境中提出一种基于支持向量分类的增量学习算法

    In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.

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  • 提出了一种利用支持向量(SVM)机械系统故障进行分类方法分类为基础,开发了基于支持向量机的多值分类

    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.

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  • 为了解决支持向量分类应用于较小样本问题提出一种密度聚类支持向量机相结合的分类算法

    To solve the problem that support vector machine(SVM) can only classify the small samples set, a new algorithm which applied SVM to density clustering is proposed.

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  • 同时本文机器学习相关反馈结合起来用于图像检索实验使用了K -NNBP神经网络支持向量分类

    At the same time, we used relevance feedback and machine learning used in image retrieval. K-NN, BP neural network and support vector machine classifiers were used in experiments.

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  • 同时本文机器学习相关反馈结合起来用于图像检索实验使用了K -NNBP神经网络支持向量分类

    At the same time, we used relevance feedback and machine learning used in image retrieval. K-NN, BP neural network and support vector machine classifiers were used in experiments.

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