Abstract
The least-square method and the global optimization algorithm as an illustration of applying the dynamical system model.
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References
Neimark, Ju.I., Teklina L.G. (1996): A recurrent form for the least-square method over determinate parameters. Reports of Russian Academy of Sciences. 349 (5), 608 - 609 (in Russian).
Neimark, Ju.I., Teklina L.G. (1995): An extended recurrent form for the least-square method in applying the pattern recognition problem. In:Dynamics of Systems ( Nizhny Novgorod State University after N.I. Lobatchevsky ), 29 - 45 (in Russian).
Neimark, Ju.I., Teklina L.G. (2001): Recurrent procedures of the least-square method under restrictions on parameters in coding and recognition problems. Pattern recognition and image analysis. 11 (5), 228 - 230.
Neimark, Ju.I. (1978): Dynamical systems and controllable processes. Nauka, Moscow (in Russian).
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Neimark, J.I. (2003). Dynamical interpretation of the least-square method and global search optimization with use of an adaptive model. In: Mathematical Models in Natural Science and Engineering. Foundations of Engineering Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-47878-2_45
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DOI: https://doi.org/10.1007/978-3-540-47878-2_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53682-3
Online ISBN: 978-3-540-47878-2
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