搜索资源列表
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使用MATLAB语言实现BP神经网络的分类功能，代码很简洁-using MATLAB BP neural network classification function, a very simple code
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该源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-This pack of code implement a imges-based face recognition using sparse representation classification. In the algorithm, i employ GPSR as tool to complete the optimization procedure of l1-minimization.
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使用复杂网络提取图像边缘特征并进行识别的源代码，采用PCA_LDA算法对特征进行降维分类识别，识别效率很高。鲁棒性好-Extracted using image edge characteristics of complex networks and to identify the source code, using PCA_LDA algorithm to reduce the dimensions feature classification, identification with hi
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用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-MATLAB source code written using svm, support vector machine can be achieved for feature classification or extraction
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神经网络源码，可应用于遥感图像的分类，采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn.
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用于植物叶片分类的图形界面,是Matlab源码，用BP神经网络实现-For plant leaf classification graphical interface, the Matlab source code, using BP neural network
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