A hierarchical self-organising map model for sequence recognition

This raper presents art analysis of an original hierarchical neural model on a complex sequence - che complete sixteenth four-part fugue in G minor of the Well-Tempered Clavier (vol. I) of J. S. Bach. The model makes an effective use of context information, through in hierarchical topology and its embedded time integrators, and that enables it to keep a very good account of patterns. The model peri;,rms sequence classification and discrimination efficiently. It has application in domains which require pattern recognition, or particularly, which demand recognising either a set of sequences of vectors in time, or sub-sequences into a unique and large sequence of vectors in time.