搜索资源列表
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线性支撑矢量机分类器
对模式识别问题中的线性可分问题进行分类-Linear support vector machine classifier pattern recognition problems in the linear separable classification
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用matlab的核函数对钓鱼岛实现分类（模式识别作业）-Kernel function using matlab realize the Diaoyu Islands classification (pattern recognition operations)
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基于支持向量机的模式识别程序，可以实现2分类-Based on SVM pattern recognition program, you can achieve 2 classification
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采用支持向量机的方法对轴承故障进行模式识别，具有良好的识别效果。-Using support vector machine (SVM) method for bearing fault pattern recognition, good recognition effect.
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模式识别重要分类器SVM工具箱，采用matlab实现-Important pattern recognition classifier SVM toolbox, adopting the matlab
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模式识别和dsp中用非线性SVM画决策面-nonlinear SVM decipts decision boundary in
Pattern recognition and DSP
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matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值--attern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
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BP神经网络用于函数拟合与模式识别，GSM中GMSK调制信号的产生，包括最小二乘法、SVM、神经网络、1_k近邻法。- BP neural network function fitting and pattern recognition, GSM is GMSK modulation signal generation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
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SVM源程序小样本分析 模式识别 用于SVM的初学者 还可以(The SVM source program analysis and pattern recognition of small sample beginners can also be used in SVM)
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模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值(Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value)
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一个基于SVM模式识别的例子 main为主程序 主要实现了两种核矩阵的实现(An example based on SVM pattern recognition)
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