A simple learning algorithm for growing self-organizing maps and its application to the skeletonization
A simple learning algorithm for growing self-organizing maps and its application to the skeletonization
复制标题
一种简单的自组织映射学习算法及其在骨架化中的应用
DOI：
10.1109/ijcnn.2003.1223482
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
T. Saito
中科院分区：
文献类型：
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作者：
H. Sasamura;T. Saito
本文提出了一种简单的自组织映射（ab。SOMs），并考虑其应用到technology。为了适应输入数据的形状，映射可以具有部分树和环拓扑。在该算法中，地图可以增长和拓扑结构可以改变的基础上偶尔检查的学习历史的每个细胞和MST。如果控制参数选择适当，该算法可以有效地应用于日文字符的拼音化。
This paper presents a simple learning algorithm for growing self-organization maps (ab. SOMs) and considers its application to the skeletonization. In order to adapt the shape of the input data, the map can have partial tree and loop topology. In the algorithm, the map can grow and the topology can change based on occasional inspection of learning history of each cell and MST. If the control parameters are selected suitable, the algorithm can be applied effectively for skeletonization of Japanese characters.
影响因子：
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作者：
PRIM, RC
通讯作者：
PRIM, RC