Multifractal Analysis of the Coupling Space of Feed-Forward Neural Networks

Details Multifractal Analysis of the Coupling Space of Feed-Forward Neural Networks Multifractal Analysis of the Coupling Space of Feed-Forward Neural Networks

1995-12-29

arxiv.org/abs/cond-mat/9512176v1

Physics

Condensed Matter

10 pages, Latex, submitted to PRL

Scientific paper

10.1103/PhysRevE.53.R2064

Random input patterns induce a partition of the coupling space of feed-forward neural networks into different cells according to the generated output sequence. For the perceptron this partition forms a random multifractal for which the spectrum $f(\alpha)$ can be calculated analytically using the replica trick. Phase transition in the multifractal spectrum correspond to the crossover from percolating to non-percolating cell sizes. Instabilities of negative moments are related to the VC-dimension.

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