The Metric Structure of Weight Space

Neural Processing Letters

Volumn 5, Issue 2, 1997, Pages 63-72

  Rüger, Stefan M ^a   Ossen, Arnfried ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Canonical metric; Clustering in weight space; Fundamental domain; Symmetries; Weight space

Indexed keywords

COMPUTATIONAL METHODS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; VECTORS;

CANONICAL METRIC; FUNDAMENTAL DOMAIN; WEIGHT SPACE;

FEEDFORWARD NEURAL NETWORKS;

EID: 0031119069     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. A. Ossen and S.M. Rüger, "An analysis of the metric structure of the weight space of feedforward networks and its application to time series modeling and prediction", in Proceedings of the European Symposium on Artificial Intelligence (ESANN), pp. 315-322. D Facto Publications: Brussels, 1996.
2. A.M. Chen, H.-m. Lu and R. Hecht-Nielsen, "On the geometry of feedforward neural network error surfaces", Neural Computation, Vol. 5, No. 6, pp. 910-927, 1993.
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