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Methods for identification and optimization in intelligent systems
Author(s) -
T. G. Kryzhanovskaya,
K.A. Pupkov
Publication year - 2014
Publication title -
izvestiâ mgtu "mami"
Language(s) - English
Resource type - Journals
eISSN - 2949-1428
pISSN - 2074-0530
DOI - 10.17816/2074-0530-67373
Subject(s) - identification (biology) , computer science , control (management) , optimization algorithm , system identification , mathematical optimization , algorithm , artificial intelligence , data mining , mathematics , botany , biology , measure (data warehouse)
The paper presents several algorithms for identification, describing complex objects or control system, including: an algorithm for identification of linear time-varying control systems, multi-row algorithm for decision-making by the method of group record of arguments and neuropackage to solve the problem of functions approximation

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