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Journal of Automation and Information Sciences

Publication de 12  numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Usage of Preudoinversion and Regularization Methods in Adaptive Models of Structural Representation and Data Processing

Volume 49, Numéro 3, 2017, pp. 24-33
DOI: 10.1615/JAutomatInfScien.v49.i3.40
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RÉSUMÉ

Mathematical models of presentation of data in structural form in static case, which are based on direct and dual problems of regularization and estimation of computational complexity of the corresponding methods, are given. Iteration schemes for correction of vector of unknown parameters in the case of dynamical entering of experimental data are developed on their basis. Estimates of convergence of the suggested iterative schemes in the class of ellipsoids, where phase restrictions are set in the form of parallelepiped, are obtained.

CITÉ PAR
  1. Ala'raj Maher, Majdalawieh Munir, A Hybrid Approach for Counting Templates in Images, Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing, 2020. Crossref

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