A simple learning algorithm for network formation based on growing self-organizing maps

作者：Sasamura H^*; Saito T; Ohta R

来源：IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2004, E87A(10): 2807-2810.

• unsupervised learning
• self-organizing feature maps
• growing cell structures
• small-world network

This paper presents a simple learning algorithm for network formation. The algorithm is based on self-organizing maps with growing cell structures and can adapt input data which correspond to nodes of the network. In basic numerical experiments, as a parameter is selected suitably, our algorithm can generate network having small-world-like structure. Such network structure appears in some natural networks and has advantages in practical systems.

• 出版日期2004-10