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Malika D.Y., Tolibbek D.S., Mirzomuhammad K.N. Problems of adaptive neuro- fuzzy
modeling of complex objects
PROBLEMS OF ADAPTIVE NEURO- FUZZY MODELING OF COMPLEX OBJECTS
Malika Doshanova Yuldashovna
Assistant professor of Tashkent University of Information Technologies
Orcid ID: 0000-0002-7951-0497; yulduzxon_85@mail.ru
Tolibbek Dilmurodov Sobirjon ugli
Student of Tashkent University of Information Technologies
Orcid ID: 0009-0002-0407-9011; tolibdilmurodov98@gmail.com
Mirzomuhammad Karimov Nodirjonovich
Student of Tashkent University of Information Technologies
Orcid ID: 0009-0004-5980-115X; karimov0147@gmail.com
Abstract
. In this article, distributed adaptive neuro-fuzzy models for decision support in
fast predictive control systems for complex objects are considered and their structures are
analyzed.
Key words
. Complex object, neuro-fuzzy model, decision making, weight, incoming
signal, layer.
Аннотация
. В данной статье рассматриваются адаптивные нейро-нечеткие
модели поддержки принятия решений в системах оперативно-прогнозного
управления сложными объектами и анализируются их структуры.
