Complexity of learning in artificial neural networks

DOI10.1016/S0304-3975(01)00167-0zbMath0983.68154OpenAlexW1983127429MaRDI QIDQ5958811

Andreas Engel

Publication date: 3 March 2002

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0304-3975(01)00167-0

zbMATH Keywords

neural networkslearning theoryalgorithmic complexitystatistical mechanics

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Statistical mechanics methods and phase transitions in optimization problems

Cites Work

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• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Statistical Mechanics of Learning
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• Vapnik-Chervonenkis bounds for generalization
• A logical calculus of the ideas immanent in nervous activity
• Approximation by superpositions of a sigmoidal function
• Statistical mechanics methods and phase transitions in optimization problems
• A physicist's approach to number partitioning

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