SOFM neural network code
2016-08-23
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Self-organizing feature map (SOFM) learning to classify the input vectors, according to the law of their combination in the input space. Self-organizing map on the competition floor different from the adjacent neurons learn to identify the adjacent part of the input space. Therefore, the self-organizing map learning neurons (like competitive layer) and are trained in the topology of the input vector. This code is the c++ code on self-organizing feature maps, realizes the function of clustering, neural networks can help beginners understand the relevant content
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神经网络
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sofm
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