Title :
Architecture of hybrid generalized additive neuro-fuzzy system in modelling technological process
Author :
Bodyanskiy Yevgeniy;Peleshko Dmytro;Vynokurova Olena;Tatarinova Yuliia
Author_Institution :
Control Systems Research Laboratory, Kharkiv National University of Radio Electronics, UKRAINE, Lenina street 14
Abstract :
In this paper we propose architecture of hybrid generalized additive neuro-fuzzy system. Such system is hybrid of the neuro-fuzzy system by Wang-Mendel and the generalized additive models by Hastie-Tibshirani. Proposed hybrid generalized additive neuro-fuzzy system can be used for modelling technological process, identification and prediction of nonlinear nonstationary signal. The results of experimental modelling confirm the effectiveness of the proposed approach in comparison with conventional neuro-fuzzy systems.
Keywords :
"Additives","Computational modeling","Approximation methods","Neurons","Computer architecture","Tuning","Neural networks"
Conference_Titel :
Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), 2015 13th International Conference The
DOI :
10.1109/CADSM.2015.7230869
