A MODIFIED HYPERMAP ARCHITECTURE FOR CLASSIFICATION OF BIOLOGICAL SIGNALS
作者： B Brückner , M. Franz , A. Richter
DOI: 10.1016/B978-0-444-89488-5.50072-5
关键词:
摘要: In this paper we present a modification of the hypermap architecture introduced by Kohonen on ICANN 91 and verification classification biological signals. We suggest structure an arbitrary number levels in input vector with each level consisting transformed data (Fig.1), which form “context” trained data. The novelty described solution is based further step toward generalized, structured Feature Map possibility to better classify noisy signals like EEG speech.
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