Open AccessDesign of neuro‐simulation system in situational management of control and quality assessment for complex production assembly system
Author(s) -
A. L. Zolkin,
AUTHOR_ID,
Evgeniy Lavrov,
I. N. Zaitseva,
A. S. Bityutskiy,
В. А. Мирончук,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.47813/dnit-mip5/2022-3091-46-52
Subject(s) - computer science , decomposition , process (computing) , situational ethics , quality (philosophy) , production (economics) , function (biology) , control engineering , systems engineering , engineering , ecology , philosophy , macroeconomics , epistemology , evolutionary biology , political science , law , economics , biology , operating system
The specific challenge for application of developed system of situational input in control process is generalized by authors, flowgraph model is demonstrated, synthesis methodology is generalized and assessment of effectiveness based on group of parameters of regression nature to implemented neuro-fuzzy regulation system is described. Decomposition and structural analysis of specificity of application of implemented model, its characteristic function and balance-model (before implementation) are described. The steps of development of this complex technology are reviewed.