Abstract
A temporal extension of the Self-Organizing Map (SOM)is presented. The learning algorithm is based on self-reference, and is called Recursive SOM. This network learns local representations of the temporal context associated with a time series, and extends classical properties of SOM to time.
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© 2001 Springer-Verlag London Limited
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Voegtlin, T., Dominey, P.F. (2001). Recursive Self-Organizing Maps. In: Advances in Self-Organising Maps. Springer, London. https://doi.org/10.1007/978-1-4471-0715-6_27
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DOI: https://doi.org/10.1007/978-1-4471-0715-6_27
Publisher Name: Springer, London
Print ISBN: 978-1-85233-511-3
Online ISBN: 978-1-4471-0715-6
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