A Novel Classification Method Using Self-Regulatory Feedback

Tsvi Achler, Eyal Amir

A network is described that performs classification based on self-regulatory feedback. Structurally it contrasts with current classifier methods by not requiring parameterized connection weights or lateral inhibition. Thus is it different from other biologically inspired networks such as: Neural Networks, Adaptive Resonance Networks.

Submitted: Sep 14, 2008