Open access
Oct 2026
STACKING DOUBLE GENERALIZED NEO-FUZZY NEURON AND ITS FAST HYBRID LEARNING
The work is devoted to the development of a hybrid neuro-fuzzy architecture for improving the efficiency of data mining tasks. The subject of the study is the process of approximation of nonlinear dependencies and adaptive learning in data streams conditions using neuro-fuzzy models. The task of the research is to incr...
Oleh Zolotukhin, M. Kudryavtseva, Yevgeniy V. Bodyanskiy et al.
· Advanced Information Systems · 0 citations