Document Type
Technical Report
Publication Date
1993
DOI:
10.7936/K7GF0RTX
Technical Report Number
WUCS-93-44
Abstract
Supervised Competitive Learning (SCL) is described in an accompanying paper [1]; SCL assembles a set of learning modules into a supervised learning system to address the stability-plasticity dilemma. That paper reported results using backpropagation networds as the learning modules (SCL/BP). Here (Part II) we report SCL results using learning modules based on fuzzy logic (SCL/FZ). Although its learning algorithm is very different from that of backpropagation networks, fuzzy logic also suffers the stability-plasticity dilemma. A simulator on handwritten digit and gesture recognition was constructed to demonstrate the utility of SCL/FZ; it is recognized 98% of test digits, and 91% of test gestures. In this paper, we also compare SCL/BP with SCL/FZ for recognizing handwritten digits.
Recommended Citation
Wang, Ce; Kimura, Takayuki D.; and Fuller, Thomas H. Jr., "Supervised Competitive Learning Part II: SCL with Fuzzy Logic" Report Number: WUCS-93-44 (1993). All Computer Science and Engineering Research.
https://openscholarship.wustl.edu/cse_research/539
Comments
Permanent URL: http://dx.doi.org/10.7936/K7GF0RTX