Zobrazeno 1 - 10
of 36
pro vyhledávání: '"R. Mariaca"'
Publikováno v:
Recurrent Neural Networks
The Recent advances in understanding of the working principles of artificial neural networks has given a tremendous boost to identification, prediction and control tools of nonlinear systems, (Narendra & Parthasarathy, 1990; Chen & Billings, 1992; Hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bd57326dc4dea19f5cd037e7c45e14c
http://www.intechopen.com/articles/show/title/recurrent_neural_network_identification_and_adaptive_neural_control_of_hydrocarbon_biodegradation_pr
http://www.intechopen.com/articles/show/title/recurrent_neural_network_identification_and_adaptive_neural_control_of_hydrocarbon_biodegradation_pr
Autor:
Marco A Moreno Armendáriz, José de Jesús Rubio, Julio César Tovar, Carlos R Mariaca Gaspar, Floriberto Ortiz Rodriguez
Publikováno v:
Neural Computing and Applications. 23:323-331
In this study, a novel indirect adaptive controller is introduced for a class of unknown nonlinear systems. The proposed method provides a simple control architecture that merges from the cerebellar model articulation controller (CMAC) network and hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba76ac985a747f42abe3b1da572aeeee
https://doi.org/10.1007/s00521-013-1423-x
https://doi.org/10.1007/s00521-013-1423-x
Autor:
R. Mariaca-Mendez, N. S. Leon-Martinez, J. Nahed-Toral, P. T. Diaz-Santana, José David Álvarez-Solís
Publikováno v:
Research Journal of Biological Sciences. 7:52-63
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14a0264ab5e6fbd4625222288fce90d1
https://doi.org/10.3923/rjbsci.2012.52.63
https://doi.org/10.3923/rjbsci.2012.52.63
Publikováno v:
Neural Computing and Applications. 22:597-605
A doctor could say that a patient is sick while he/she is healthy or could say that the patient is healthy while he/she is sick, by mistake. So it is important to generate a system that can give a good diagnosis, in this case for abnormal eye movemen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ef374905cd655333e4c1f27d247935e
https://doi.org/10.1007/s00521-011-0705-4
https://doi.org/10.1007/s00521-011-0705-4
Publikováno v:
International Journal of Intelligent Systems. 24:1094-1114
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3353ff6d853d36304225ff9384ceb520
https://doi.org/10.1002/int.20377
https://doi.org/10.1002/int.20377
Publikováno v:
IFAC Proceedings Volumes. 40:289-294
The aim of this paper is to propose a new Recurrent Neural Network (RTNN) topology and a dynamic recursive Levenberg-Marquardt algorithm of its learning capable to estimate the states and parameters of a highly nonlinear wastewater treatment bioproce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58742b77c9caf10063decaaf42b1ff48
https://doi.org/10.3182/20070604-3-mx-2914.00050
https://doi.org/10.3182/20070604-3-mx-2914.00050
Publikováno v:
Multibody Mechatronic Systems ISBN: 9783319098579
In this article online clustering and modification of kernel Support Vector Machines (SVM’s) is presented by a fuzzy modelling for nonlinear kernel plant. The structure identification was carried out by online clustering and fuzzy Support Vector Ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6153cc358042d992ee227828824346cc
https://doi.org/10.1007/978-3-319-09858-6_11
https://doi.org/10.1007/978-3-319-09858-6_11
Publikováno v:
Multibody Mechatronic Systems ISBN: 9783319098579
Neural identification techniques are very useful for the problem of unknown dynamics and uncertainties during the development of a model that accurately represents the behaviour of a robot. In this paper we use the model of a Recurrent Trainable Neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9a6dfa0130fff60ec4ca4edb558a019
https://doi.org/10.1007/978-3-319-09858-6_36
https://doi.org/10.1007/978-3-319-09858-6_36
Publikováno v:
IJCNN
The paper proposed a neural solution to the direct torque vector control of three phase induction motor including real-time trained RNN velocity controller and a hysteresis flux and torque controllers, which permitted the speed up reaction to the var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f867d4a39eec9f7444f7605492a4bb86
https://doi.org/10.1109/ijcnn.2010.5596489
https://doi.org/10.1109/ijcnn.2010.5596489
Publikováno v:
ECC
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to estimate the states and parameters of a highly nonlinear continuous ferme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e830d69fc3da8638f8d8ef60d103c211
https://doi.org/10.23919/ecc.2009.7074449
https://doi.org/10.23919/ecc.2009.7074449