Chaotic dynamics and the geometry of the error surface in neural networks

DOI10.1016/0167-2789(92)90191-OzbMath0738.92001MaRDI QIDQ1184305

S. Singh

Publication date: 28 June 1992

Published in: Physica D (Search for Journal in Brave)

zbMATH Keywords

learning processchaotic oscillationscomplex oscillationsperceptronserror surfacedelayed logistic mappingdelayed period doubling bifurcationsmulti-layered neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

Chaos in discrete learning systems

Cites Work

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• On the capabilities of multilayer perceptrons
• Slow sweep through a period-doubling cascade: Delayed bifurcations and renormalisation
• Quantitative universality for a class of nonlinear transformations
• Simple mathematical models with very complicated dynamics

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