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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.

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

Abstract/Summary

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)
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:21612
Uncontrolled Keywords:Kohonen self-organising map, graph structure, online training algorithm, passive radar, pattern classification, plastic self organising map

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