Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Wagner Caradori do Amaral"'
Autor:
Codelco do Brasil Mineração, Joseneusa Brilhante Rodrigues, Hector Barrueto, Felipe Grandjean da Costa, Iaponira Paiva Gomes, Wagner Caradori do Amaral, João L. C. Naleto
Publikováno v:
Journal of the Geological Survey of Brazil, Vol 4, Iss 2 (2021)
The Troia–Pedra Branca complex is the most extensive exposure of mafic–ultramafic rocks in the Borborema Province, northeastern Brazil. Chromitite occurrences in this unit are known for a long time, particularly because of its platinum group elem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df078661449f4652c2dccd666aca50f5
https://jgsb.cprm.gov.br/index.php/journal/article/view/154
https://jgsb.cprm.gov.br/index.php/journal/article/view/154
Publikováno v:
International Journal of Control. 81:962-975
A new solution for the problem of selecting poles of the two-parameter Kautz functions in Volterra models is proposed. In general, a large number of parameters are required to represent the Volterra kernels, although this difficulty can be overcome b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bf2f9bd4e288698506974952c14b73c
https://doi.org/10.1080/00207170701599070
https://doi.org/10.1080/00207170701599070
Publikováno v:
Applied Artificial Intelligence. 20:797-816
Hierarchical structures have been introduced in the literature to deal with the dimensionality problem, which is the main drawback to the application of neural networks and fuzzy models to modeling and control of large-scale systems. In the present w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7b413aaae20a355e3c4c6bca8fff2ff
https://doi.org/10.1080/08839510600941379
https://doi.org/10.1080/08839510600941379
Publikováno v:
Journal of Optimization Theory and Applications. 128:563-580
Neural networks consist of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent neural net-works that can be used to solve several c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c996e1acb46a8219dd5d25e94c1d83b3
https://doi.org/10.1007/s10957-006-9032-9
https://doi.org/10.1007/s10957-006-9032-9
Design and analysis of an efficient neural network model for solving nonlinear optimization problems
Publikováno v:
International Journal of Systems Science. 36:833-843
This paper presents an efficient approach based on a recurrent neural network for solving constrained nonlinear optimization. More specifically, a modified Hopfield network is developed, and its internal parameters are computed using the valid-subspa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f0e96400744a561dd89d9013c9a07a6
https://doi.org/10.1080/00207720500282359
https://doi.org/10.1080/00207720500282359
Publikováno v:
IFAC Proceedings Volumes. 38:761-766
This work tackles the problem of modeling nonlinear systems using Volterra models based on Kautz functions. The drawback of requiring a large number of parameters in the representation of these models can be circumvented by describing every kernel us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04d8826d66aa03da4d1a7984f353ad36
https://doi.org/10.3182/20050703-6-cz-1902.00128
https://doi.org/10.3182/20050703-6-cz-1902.00128
Autor:
F.J. Von Zuben, Ricardo J. G. B. Campello, Wagner Caradori do Amaral, L.A.C. Meleiro, R. Maciel Filho
Publikováno v:
Chemical Engineering Science. 58:4259-4270
Fuzzy models within the framework of orthonormal basis functions (OBF fuzzy models) have been introduced in previous works and shown to be a very promising approach to the areas of nonlinear system identification and control, since they exhibit sever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe9c7e0a8f841721c39d85d5a44915cf
https://doi.org/10.1016/s0009-2509(03)00309-9
https://doi.org/10.1016/s0009-2509(03)00309-9
Publikováno v:
International Journal of Systems Science. 34:139-157
This paper is concerned with both the problems of quantitative and qualitative modelling of complex systems by using fuzzy techniques. A unified approach for the identification and subsequent extraction of linguistic knowledge of systems using fuzzy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa3ac82acfab3f4788c1365aab184219
https://doi.org/10.1080/0020772031000115524
https://doi.org/10.1080/0020772031000115524
Publikováno v:
Fuzzy Sets and Systems. 121:113-126
Fuzzy relational models have been widely investigated and found to be an efficient tool for the identification of complex systems. However, little attention has been given to the linguistic interpretation of these models. The use of relational models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8928d845b52587b0b0f1a1285edab4c
https://doi.org/10.1016/s0165-0114(99)00175-x
https://doi.org/10.1016/s0165-0114(99)00175-x
Publikováno v:
International Journal of Systems Science. 32:715-722
Systems based on artificial neural networks have high computational rates owing to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with feedback connections provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00aadd904bd5a50417d362900269c76f
https://doi.org/10.1080/002077201750281927
https://doi.org/10.1080/002077201750281927