The Effects of Lateral Inhibition on Learning Speed and Precision of a Self-Organizing Feature Map

Abstract

This paper is concerned with a performance comparison of self-organizing feature maps with different learning functions. As the basis for the performance comparison we use an application in the area of software reuse, namely the structuring of software libraries. As the result we are able to demonstrate that lateral inhibition of output units leads to an… (More)

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Cite this paper

@inproceedings{Merkl1995TheEO, title={The Effects of Lateral Inhibition on Learning Speed and Precision of a Self-Organizing Feature Map}, author={Dieter Merkl}, year={1995} }