Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Abigail M. E. Ramirez-Mendoza"'
Publikováno v:
IEEE Access, Vol 8, Pp 101369-101376 (2020)
Data driven fuzzy neural networks have some disadvantages, such as high dimensions and complex learning process. Also, the obtained models are difficult to interpret. In this paper, we propose a novel simple fuzzy system, which uses fuzzy adaptive ne
Externí odkaz:
https://doaj.org/article/54de548cf8be49579488bfc299c9ba3c
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:10767-10779
The identification of nonlinear systems is a complex task. This article presents a method comparison between the new Fuzzy Adaptive Neurons (FAN), Radial Basis Function Network (RBF), and Adaptive Network-Based Fuzzy Inference System (ANFIS). The non
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3094b62c36ca78fea2dcb347a3581abd
https://doi.org/10.3233/jifs-201782
https://doi.org/10.3233/jifs-201782
Autor:
Abigail M. E. Ramirez-Mendoza, Roberto Covarrubias-Fabela, Luis Amezquita-Brooks, Carlos Santana-Delgado, Diana Hernandez-Alcantara, Octavio Garcia-Salazar
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 56:2174-2197
An improved propulsion model for multirotor small unmanned aerial vehicles is developed by incorporating the effects of airflow speed, direction, rotor interaction, and other phenomena related to particular configurations, which are elements that are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4450396a096e6887d1c964fcd9d124f
https://doi.org/10.1109/taes.2019.2943756
https://doi.org/10.1109/taes.2019.2943756