Open AccessFraming regional innovation and technology policies for transformative change
Author(s) -
S V Solodov,
I B Mamai,
S V Pronichkin
Publication year - 2022
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/981/2/022007
Subject(s) - transformative learning , framing (construction) , computer science , architecture , fuzzy logic , artificial intelligence , management science , economics , sociology , engineering , geography , pedagogy , structural engineering , archaeology
The current state of social and economic development of regions requires new approaches to increasing the efficiency of their activities, and above all scientific approaches to forecasting, as one of the main components of the strategy of transformative changes. It is proposed to use an architecture based on neuro-fuzzy networks for forecasting regional development, which is characterized by a high learning rate due to the linear dependence of outputs on adjustable weights. Scientific and methodological approaches are developed to determine the global minimum of the learning criterion, taking into account the decision rules “if-then”.