Adaptive Self-Organizing Map and Its Applications

• Main Authors: Dong-Lin Li, 李東霖
• Other Authors: 陶金旭
• Format: Others
• Language: zh-TW
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/25233280500026750414

碩士 === 國立中興大學 === 電機工程學系所 === 94 === Self-organizing neural network is one of the methods frequently used in data clustering. In this thesis, we present a new method to improve the self-organizing map algorithm. Instead of the 2-D neighborhood topology in the conventional self-organizing map, a 3-D 6-neighbor topology is adopted in our approach. To avoid the dead (non-functional) neurons and to represent the training data more effectively, the number of neurons and the links between the neurons will be adjusted automatically during the process of the competitive learning by using a self-constructing model.