Zobrazeno 1 - 10
of 119
pro vyhledávání: '"neurofuzzy networks"'
Autor:
O. Nikonov, V. Shulyakov
Publikováno v:
Avtomobilʹnyj Transport (Harʹkov), Vol 27, Pp 83-87 (2010)
The creation problem of management information and telematics systems of transport vehicles and transport systems is considered.
Externí odkaz:
https://doaj.org/article/b9527cb87c8a487bb7a5b3920052d271
Publikováno v:
Computer Networks. 91:752-771
Traffic flow classification to identify applications and activity of users is widely studied both to understand privacy threats and to support network functions such as usage policies and QoS. For those needs, real time classification is required and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4faf696762dd470f574f4575b93c87b6
https://doi.org/10.1016/j.comnet.2015.09.011
https://doi.org/10.1016/j.comnet.2015.09.011
Publikováno v:
Biomedical Engineering: Applications, Basis and Communications. 22:453-464
The purpose of anesthesia is to maintain a steady state for specific clinical operations. In general, one anesthesiologist utilizes anesthetic drugs and anesthetic skills to make sure the depth of anesthesia (DOA) carefully in proper level such that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::168ea35d1a355b7e569733ca334150bf
https://doi.org/10.4015/s1016237210002201
https://doi.org/10.4015/s1016237210002201
Publikováno v:
Environmental Modelling & Software. 24:686-693
A neurofuzzy wastewater flow-rate forecasting model (NFWFFM) has been developed and tested with actual data measured at the input of two wastewater treatment facilities which treat the wastewater corresponding to 150,000 and 1,250,000p.e., respective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3f5b475689eb433f99540c6a8ac4a5f
https://doi.org/10.1016/j.envsoft.2008.10.010
https://doi.org/10.1016/j.envsoft.2008.10.010
Publikováno v:
IEEE Transactions on Power Delivery. 23:2058-2067
In this paper, we introduce a new approach based on the participatory learning paradigm to train a class of hybrid neurofuzzy networks whose aim is to model the thermal behavior of power transformers. The participatory learning paradigm is a training
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1b18b496176c94d425caff23e8a3ce1
https://doi.org/10.1109/tpwrd.2008.923994
https://doi.org/10.1109/tpwrd.2008.923994
Publikováno v:
Journal of Control Theory and Applications. 6:267-272
An online fault diagnostic scheme for nonlinear systems based on neurofuzzy networks is proposed in this paper. The scheme involves two stages. In the first stage, the nonlinear system is approximated by a neurofuzzy network, which is trained offline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9a9587956db199e2d34de6e2040db6a
https://doi.org/10.1007/s11768-008-6108-0
https://doi.org/10.1007/s11768-008-6108-0
Publikováno v:
IEEE Transactions on Power Delivery. 22:904-910
This work suggests recurrent neurofuzzy networks as a means to model the thermal condition of power transformers. Experimental results with actual data reported in the literature show that neurofuzzy modeling requires less computational effort, and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e67b0d1bdf1a20500498ea79260c51a9
https://doi.org/10.1109/tpwrd.2006.874613
https://doi.org/10.1109/tpwrd.2006.874613
Publikováno v:
IFAC Proceedings Volumes. 39:246-251
Fault detection and isolation based on neurofuzzy networks is developed in this paper. The proposed scheme involves two steps. In the first step, a neurofuzzy network is trained to model the nonlinear plant, from which residuals are generated for fau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3581a7664f321a015b86be31a05b3f1d
https://doi.org/10.3182/20060829-4-cn-2909.00040
https://doi.org/10.3182/20060829-4-cn-2909.00040
Autor:
Mark B. Jaksa, Mohamed A. Shahin
Publikováno v:
Computers and Geotechnics. 32:153-163
Marquees and other temporary light structures are connected to the ground by tensile anchors that resist uplift forces. The existing methods for predicting the pullout capacity of these anchors are inaccurate and incomplete. As a result, failures of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86592e249fd89d2c1e17e9b650fdbd54
https://doi.org/10.1016/j.compgeo.2005.02.003
https://doi.org/10.1016/j.compgeo.2005.02.003
Publikováno v:
Journal of Circuits, Systems and Computers. 13:205-236
Neurofuzzy networks allow to directly manipulate the information concerning the realization of a required input–output mapping. They constitute an important sector of the emerging field of Intelligent Signal Processing. In the present paper a compa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e1d7672eb79f19ef023e04b8cedbe3c
https://doi.org/10.1142/s0218126604001258
https://doi.org/10.1142/s0218126604001258