We propose a new incremental learning method of Self-Organizing Map. Basically, there are three problems in the incremental learning of Self-Organizing Map: 1. depletion of neurons, 2. oblivion of training data previously given, 3. destruction of topological relationship among training samples. Weight-fixed neurons and weight-quasi-fixed neurons are very effective for the second problem. However the other problems still remain. Therefore, we improve the incremental learning method with weight-fixed neurons and weight-quasi-fixed neurons. We solve the problems by introducing a mechanism to increase the number of neurons effectively in the incremental learning process.
|Title of host publication||WSOM 2007 - 6th Int. Workshop on Self-Organizing Maps|
|Publication status||Published - 2007|
|Event||6th Int. Workshop on Self-Organizing Maps, WSOM 2007 - Bielefeld, Germany|
Duration: Sep 3 2007 → Sep 6 2007
|Other||6th Int. Workshop on Self-Organizing Maps, WSOM 2007|
|Period||9/3/07 → 9/6/07|
All Science Journal Classification (ASJC) codes