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支持向量机方法，用matlab实现，用于分类检测、模式识别，人脸检测等-Support Vector Machine method, the realization of Matlab for the detection and classification, pattern recognition, face detection
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模式识别的经典算法之一，动态聚类的k均值算法，采用matlab进行编程，并对分类进行了画图分析。-the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis.
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模式识别的经典算法之一，感知器算法，用来对模式进行分类，采用matlab编写。-the classic pattern recognition algorithm, perception algorithm, the model used for classification, prepared using Matlab.
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一个完整的具有图形操作界面的支持向量机模式识别的实验系统.全部用Matlab实现,可以实现多种分类识别. 这是本人的毕业设计的附属程序-complete with a graphical interface SVM pattern recognition to the experimental system. All using Matlab ab realized, could achieve multiple classification. This is my graduation des
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模式识别中贝页斯分类器的MATLAB实现，且用不同颜色标记了分类点和错分点-pattern recognition Pui page Andean classification of MATLAB and use different color marker of separation points and the wrong points
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模式识别中，用线性预测分类器实现逻辑与和逻辑或，MATLAB实现-pattern recognition, classification using linear prediction logic device to achieve and logic, or, MATLAB
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knn算法，一种基于matlab的模式识别算法，使用分类识别。-KNN algorithm based on matlab, the pattern recognition algorithm, the use of classification and identification.
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LCMV optimization design array signal processing, You can achieve data classification and regression pattern recognition, Six degrees of freedom to achieve inverse kinematics algorithm.
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有关于matlab自组织竞争网络在模式分类中的应用程序(Application of the MATLAB self-organizing competitive network in pattern classification)
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You can achieve data classification and regression pattern recognition, You can get a very accurate amplitude, frequency, phase estimation, Undergraduate complete set requirements refer to the standard test models.
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Arrival process is a Poisson process, You can achieve data classification and regression pattern recognition, Matlab for beginner students will help.
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You can achieve data classification and regression pattern recognition, Prediction Error Method for Parameter Identification - the idea of relaxation, matlab implements five gray correlation degree computing model.
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You can achieve data classification and regression pattern recognition, matlab prepared cellular automata, Modern signal processing jobs when the graduate.
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Various resource allocation algorithm, You can achieve data classification and regression pattern recognition, It draws on principal component analysis algorithm (PCA).
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支持向量机，用于模式识别的特征分类，基于MATLAB的工具包(Support vector machines are used for feature classification of pattern recognition, based on MATLAB Toolkit)
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You can achieve data classification and regression pattern recognition, Some adaptive signal processing algorithms, Add noise processing.
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模式识别在MATLAB程序下的有关算法程序，包括Fisher分类，ML分类，parzen窗分类，直方图画法，roc曲线，roc分类等(Pattern recognition in the MATLAB program related algorithm program, including Fisher classification, ML classification, Parzen window classification, histogram drawing, ROC curve, RO
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RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and
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SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。(SVM (Support Vector Machine) refers to support vector machines, which is a common method of discrimination. In the field of machine learning, it is a supervised l
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BP神经网络基本原理概述：这种网络模型利用误差反向传播训练算法模型，能够很好地解决多层网络中隐含层神经元连接权值系数的学习问题，它的特点是信号前向传播、误差反向传播，简称BP（Back Propagation）神经网络。BP学习算法的基本原理是梯度最快下降法，即通过调整权值使网络总误差最小，在信号前向传播阶段，输入信号经输入层处理再经隐含层处理最后传向输出层处理；在误差反向传播阶段，将输出层输出的信号值与期望输出信号值比较得到误差，若误差较大则把误差信号传回隐含层直至输入层，在各层神经元中使用
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