Conformal self-organization for continuity on a feature map
Conformal self-organization for continuity on a feature map
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共形自组织以实现特征图上的连续性
DOI：
10.1016/s0893-6080(99)00034-9
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
W. Tai
中科院分区：
文献类型：
--
作者：
C. Liou;W. Tai
这项工作研究了具有共形映射适应的自组织模型。该模型旨在提供共形变换，以满足生物形态和几何表面映射的共形要求。该模型跨越输入空间中的网络场，其中保留了拓扑共形性。融合网络不仅提供输入的有组织的聚类特征，还提供特定的映射表示。这有助于 Kohonen 的自组织模型以连续共形的方式探索输入。描述了变形应用的模拟。
The self-organization model with a conformal-mapping adaptation is studied in this work. This model is designed to provide conformal transformation to meet the conformality requirement in biological morphology and geometrical surface mapping. This model spans the network field in the input space where topological conformality is preserved. The converged network provides not only the organized clustering features of the input but also a specific mapping representation. This facilitates the Kohonen's self-organization model in exploring the input in a continuous conformality sense. Simulations for morphing applications are described.