Investigation of Topographical Stability of the Concave and Convex Self-Organizing Map Variant
We investigate, by a systematic numerical study, the parameter dependence of the stability of the Kohonen Self-Organizing Map and the Zheng and Greenleaf concave and convex learning with respect to different input distributions, input and output dimensions.
Topical groups: Advances in Neural Network Learning Methods, Neural and hybrid architectures and learning algorithms, Self-organization.
KeywordsNeural Computation Input Distribution Invariant Density Topology Preservation Neural Layer
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