Analysis of neighborhood interaction in Kohonen neural networks
Analysis of neighborhood interaction in Kohonen neural networks
复制标题
Kohonen 神经网络中的邻域交互分析
DOI：
10.1109/ipps.1991.153786
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发表时间：
1991
期刊：
影响因子：
--
通讯作者：
B. Bavarian
中科院分区：
文献类型：
--
作者：
Z. Lo;M. Fujita;B. Bavarian
提出了 Kohonen 神经网络邻域相互作用的形式分析。作者提出了一种新的邻域交互来改善神经网络的拓扑顺序。取决于横向距离的邻域交互是由解剖学证据驱动的，而不是当前使用的，这是一个常数。作者还从数学上证明，使用新的邻域交互将在每次迭代的邻域集中强制执行拓扑顺序。提出了一种模拟来表明通过使用新的邻域交互可以改善拓扑顺序。<<ETX>>
A formal analysis of the neighborhood interaction of Kohonen neural networks is presented. The authors propose a new neighborhood interaction to improve the topological order of the neural network. The neighborhood interaction which depends on lateral distance is motivated by anatomical evidence as opposed to what is currently used, which is a constant. The authors also mathematically show that using the new neighborhood interaction will enforce the topological order in the neighborhood set for every iteration. One simulation is presented to show that the topological order is improved by using the new neighborhood interaction.<<ETX>>