Improving a trajectory index for topology conserving mapping

Authors:
Iván Machón;Hilario López;Antonio Robles
Affiliations:
Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas, Universidad de Oviedo, Gijón, Spain;Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas, Universidad de Oviedo, Gijón, Spain;Departamento de Ingeniería Eléctrica, Electrónica de Computadores y Sistemas, Universidad de Oviedo, Gijón, Spain
Venue:
ACMOS'06 Proceedings of the 8th WSEAS international conference on Automatic control, modeling & simulation
Year:
2006

Citing 2
Cited 0

Self-Organizing Maps

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A trajectory index for topology conserving mapping

AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases

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Abstract

Topology preservation during training of Self-Organizing maps is a key issue to obtain a good quality model in process monitoring. In this paper, different existing indexes for topology preservation measurement are exposed and also an index proposed in a previous work is improved. The index is based on the smooth trajectory of the current process state projected over the output space under non abrupt changes of the values of the process variables.