Convergence analysis of convex incremental neural networks

DOI10.1007/S10472-008-9097-2zbMath1176.68156OpenAlexW1974787906MaRDI QIDQ1029589

Hung Keng Pung, Lei Chen

Publication date: 13 July 2009

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-008-9097-2

zbMATH Keywords

hidden neurons

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Asymptotic approximations, asymptotic expansions (steepest descent, etc.) (41A60)

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• A simple lemma on greedy approximation in Hilbert space and convergence rates for projection pursuit regression and neural network training
• On the near optimality of the stochastic approximation of smooth functions by neural networks
• A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks
• Universal approximation bounds for superpositions of a sigmoidal function
• Asymptotic distribution of the errors in scalar and vector quantizers

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