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神经网络源码可应用于遥感图像分类，包括bp、kohonen等方法-neural network source can be used in remote sensing image classification, including bp, Kohonen methods
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人工神经网络SOM，通过输入训练样本，训练次数等参数进行训练，实现模式分类-Artificial neural network SOM, by entering the training sample, training times and other parameters of training to achieve pattern classification
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该代码为基于Kohonen网络的分类算法，注意归一化处理以及网络的构建-The code for the classification algorithm based on Kohonen networks, pay attention to the normalization processing and network building
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一个神经网络计算的库，实现几个通用神经网络体系和训练方法，自识别图，弹性网络等.like Back Propagation, Kohonen Self-Organizing Map, Elastic Network, Delta Rule Learning, and Perceptron Learning.-In this article, a C# library for neural network computations is described. The library impleme
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采用Kohonen网络对网络入侵行为进行聚类分析，并分类-Kohonen network using the network intrusion cluster analysis and classification
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自组织网络(Kohonen)特点：1)适用于超大样本的无监督分类；2)其结果常常需要与统计分析一起使用来解释分类结果；3)能够识别新类型，但功能较差。
-1) is suitable for large sample of unsupervised classification 2) the results often need to use with statistical analysis to explain the classification results 3) to ide
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该代码为基于有导师监督的Kohonen网络的分类算法-The code is based on the supervision of the instructors Kohonen network classification algorithm
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该代码为基于Kohonen网络的分类算法-The code is based on Kohonen network classification algorithm
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