Self-organizing dynamic graphs

被引：0
|
作者：
López-Rubio, E. [1 ]
Muñoz-Pérez, J. [1 ]
Gómez-Ruiz, J.A. [1 ]
机构：
[1] Department of Computer Science, University of Málaga, Campus de Teatinos s/n, 29071-Málaga, Spain
来源：
Advances in Neural Networks and Applications | 2001年
关键词：
Convergence of numerical methods - Learning systems - Matrix algebra - Self organizing maps - Topology - Vectors;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We propose a new self-organizing neural model that considers a dynamic topology among neurons. This leads to greater plasticity with respect to the self-organizing neural network (SOFM). Theorems are presented and proved that ensure the stability of the network and its ability to represent the input distribution. Finally, simulation results are shown to demonstrate the performance of the model.
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页码：24 / 28
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