2009 | OriginalPaper | Buchkapitel
Fusion of Topology Preserving Neural Networks
verfasst von : C. Saavedra, R. Salas, H. Allende, C. Moraga
Erschienen in: Hybrid Artificial Intelligence Systems
Verlag: Springer Berlin Heidelberg
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In this paper ensembles of self organizing NNs through fusion are introduced. In these ensembles not the output signals of the base learners are combined, but their architectures are properly merged. Merging algorithms for fusion and boosting-fusion-based ensembles of SOMs, GSOMs and NG networks are presented and positively evaluated on benchmarks from the UCI database.