Strong points of weak convergence: A study using RPA gradient estimation for automatic learning

DOI10.1016/S0005-1098(99)00034-5zbMath0940.93078OpenAlexW2142929170WikidataQ128067155 ScholiaQ128067155MaRDI QIDQ1301439

Felisa J. Vázquez-Abad

Publication date: 2 November 1999

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0005-1098(99)00034-5

zbMATH Keywords

weak convergencelearningstochastic approximationestimate of the gradient vectornon-reset version of the estimatorregenerate estimation approach

Mathematics Subject Classification ID

Stochastic programming (90C15) Programming in abstract spaces (90C48) Stochastic approximation (62L20) Stochastic learning and adaptive control (93E35)

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