Chaos in discrete learning systems

DOI10.1016/S0960-0779(98)00301-4zbMath1115.68475MaRDI QIDQ997484

Karl Gustafson

Publication date: 6 August 2007

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

zbMATH Keywords

supervised learning algorithmsBackpropagation schememultilayer perceptron networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Applications of dynamical systems (37N99)

Cites Work

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• Chaotic dynamics and the geometry of the error surface in neural networks
• Statistical mechanics of neural networks. Proceedings of the XIth Sitges conference, Sitges, Barcelona, Spain, 3-7 June, 1990
• Contextual quick-learning and generalization by humans and machines
• Neural networks and physical systems with emergent collective computational abilities.
• Simple mathematical models with very complicated dynamics
• Neurons with graded response have collective computational properties like those of two-state neurons.

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