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Self-organizing_feature_map_model

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  • Update : 2012-11-26
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Self-organizing maps model (Self-Organizing feature Map), that a neural network to accept outside input mode, will be divided into different regions, the regional input modes have different response characteristics, while the process is done automatically . The connection weights of neurons with a certain distribution. Nearest neurons stimulate each other, while distant neurons are mutually inhibitory, with a further some of the weaker stimulus. Self-organizing feature map method is a clustering method without teachers.
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自组织特征映射模型\somnet_180.m.txt
..................\模型说明.txt
自组织特征映射模型
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