Temporal pattern recognition via temporal networks of temporal neurons

We show that real valued continuous functions can be recognized in a reliable way, with good generalization ability using an adapted version of the Liquid State Machine (LSM) that receives direct real valued input. Furthermore this system works without the necessity of preliminary extraction of sign...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Frid, Alex, Hazan, H., Manevitz, L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Classification Classification algorithms Encoding Feature extraction Fires Firing Liquid State Machine (LSM) Liquids Neurons Signal Processing Temporal Networks
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