Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-05-61-15
DOI: https://dx.doi.org/10.15863/TAS.2018.05.61.15
Language: Russian
Citation: Gusev AL, Okunev AA (2018) METHOD OF CONSTRUCTION OF THE LOWER-DIMENSIONAL MODEL OF CONTROL. ISJ Theoretical & Applied Science, 05 (61): 72-76. Soi: http://s-o-i.org/1.1/TAS-05-61-15 Doi: https://dx.doi.org/10.15863/TAS.2018.05.61.15 |
Pages: 72-76
Published: 30.05.2018
Abstract: The article describes a method for constructing a neural network as a control model. This method allows the researcher to significantly reduce the time resources for building a neural network management model with the minimal error of the neural network, if possible. An example of the implementation of the method is presented, as a set of four procedures for constructing a neural network with the minimum possible resulting error.
Key words: neural network, control model, neural network construction procedure, neural network error.
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