Accessibility navigation

The plastic self organising map

Lang, R. and Warwick, K. (2002) The plastic self organising map. In: International Joint Conference on Neural Networks: IJCNN 2002, 12-17 May 2002, Honolulu, HI, USA, pp. 727-732,

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1109/IJCNN.2002.1005563


A novel extension to Kohonen's self-organising map, called the plastic self organising map (PSOM), is presented. PSOM is unlike any other network because it only has one phase of operation. The PSOM does not go through a training cycle before testing, like the SOM does and its variants. Each pattern is thus treated identically for all time. The algorithm uses a graph structure to represent data and can add or remove neurons to learn dynamic nonstationary pattern sets. The network is tested on a real world radar application and an artificial nonstationary problem.

Item Type:Conference or Workshop Item (Paper)
ID Code:21612
Uncontrolled Keywords:Kohonen self-organising map, graph structure, online training algorithm, passive radar, pattern classification, plastic self organising map

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation