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BP神经网络用于分类与回归
----------------------------------------作者：陆振波，海军工程大学
欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页
电子邮件：luzhenbo@sina.com
个人主页：luzhenbo.88uu.com.cn
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1、NeuralNetwork_BP_Classification.m -
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RBF神经网络用于分类与回归
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作者：陆振波，海军工程大学
欢迎同行来信交流与合作，更多文章与程序下载请访问我的个人主页
电子邮件：luzhenbo@sina.com
个人主页：luzhenbo.88uu.com.cn
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文件说明：
1、NeuralNetwork_RBF_Classifi
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用于自定义文件的路径和分类显示特定类型的文件菜单，适用于matlab GUI设计-for documents from the path definition and classification of specific types of shows the File menu, in Matlab GUI design
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用rbf神经网络实现分类和曲线拟合，包括分离器和曲线拟合两个文件，可以直接解压缩使用-using neural network classification and curve fitting, including separator and curve fitting two documents, decompression can be used directly
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一个包含丰富内容的流形学习算法工具包，有图形示例文件demo.fig，包括laplacian特征映射算法、流形规则调整、svm分类算法等内容，希望对研究机器学习的朋友有用。-contains a rich content of the manifold learning algorithm tool kit, graphics documents demo.fig example, laplacian features include mapping algorithm manifold rul
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基于不断学习的贝叶斯-KNN文本分类算法的设计与实现,给出原始几个类别的文本文件，通过机器学习，获取各个类别文本内容的主要特征，在这个基础上，给出待分类的文件库，系统通过自动分类，对文件库中的文本进行分类，把文件分配到最有可能的类别中。-based learning Bayesian-KNN text classification algorithm design and implementation given several types of the original text file,
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ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes,
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自动地分类和聚集文档，可以选择作为一个Web服务。这个程序完全是用Java编写的，利用了 Weka机器学习工具包。-automatic classification and gathering documents, we can choose as a Web service. This procedure is completely written in Java, Weka use of machine learning kits.
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tf-idf用于文档聚类，权重计算，用MATLAB实现的，自己编写非常好用！,tf-idf for Document Clustering, weight calculation, use MATLAB to achieve, I have written is very easy to use!
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用朴素贝叶斯算法来进行文件分类,未包含训练数据.-Naive Bayes algorithm is used to carry out classification of documents, not included in training data.
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关于ACM分类的文档
对于初学者有帮助-ACM Documents on the classification of help for beginners
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使用svm实现了分类和拟合功能
带有源文件，包括了java版本和c++版本
-Achieved using the SVM classification and fitting function with the source documents, including a java version and c++ Version
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这些文献包括，分类，聚类，以及多目标优化，可以帮助大家进一步学习和接触此方面的知识，进而进一步发展-These documents include classification, clustering, and multi-objective optimization, which can help us to further study and access to the further development of this knowledge.
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This naive bayes classification of documents-This is naive bayes classification of documents
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一篇关于电能质量问题及其检测分类方法的外文文献，大家可以参考一下-Article on the detection of power quality problems and their classification of documents in foreign languages, we can refer to
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对WORD文档里的二类数据进行分类，使用神经网络的BP算法。采用三层网络。-WORD documents in the two types of data classification, using neural network BP algorithm. Three-tier network.
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1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序
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Neural network classification and curve fitting
curve fitting including separators and two documents
-Neural network classification and curve fitting
curve fitting including separators and two documents
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这是利用神经网络进行二分类的程序，训练过程采用bp.工程中包含训练文件和测试文件。-This is for two neural network classification procedure, the training process using bp. Project includes training documents
And test files.
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单层竞争神经网络的数据分类—患者癌症发病预测，共3个文件-Single layer neural network data classification in patients with cancer prediction, a total of 3 documents
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