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   <subfield code="a">10.14232/ejqtde.2021.1.92</subfield>
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   <subfield code="a">SZTE Egyetemi Kiadványok Repozitórium</subfield>
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   <subfield code="a">Boichuk Oleksandr</subfield>
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   <subfield code="a">Minimizing of the quadratic functional on Hopfield networks</subfield>
   <subfield code="h">[elektronikus dokumentum] /</subfield>
   <subfield code="c"> Boichuk Oleksandr</subfield>
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   <subfield code="a">Electronic journal of qualitative theory of differential equations</subfield>
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   <subfield code="a">In this paper, we consider the continuous Hopfield model with a weak interaction of network neurons. This model is described by a system of differential equations with linear boundary conditions. Also, we consider the questions of finding necessary and sufficient conditions of solvability and constructive construction of solutions of the given problem, which turn into solutions of the linear generating problem, as the parameter ε tends to zero. An iterative algorithm for finding solutions has been constructed. The problem of finding the extremum of the target functions on the given problem solution is considered. To minimize a functional, an accelerated method of conjugate gradients is used. Results are illustrated with examples for the case of three neurons.</subfield>
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   <subfield code="a">Hopfield hálózatok, Határérték probléma - differenciálegyenletek</subfield>
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   <subfield code="u">http://acta.bibl.u-szeged.hu/75813/1/ejqtde_2021_092.pdf</subfield>
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