Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Juan Contreras Montes"'
Publikováno v:
Data, Vol 8, Iss 12, p 174 (2023)
Machine learning techniques can be used to identify whether deficits in cognitive functions contribute to antisocial and aggressive behavior. This paper initially presents the results of tests conducted on delinquent and nondelinquent youths to asses
Externí odkaz:
https://doaj.org/article/72a0ace1df47463ba705b38b7ab650b9
Publikováno v:
Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 5, Iss 3, Pp 70-77 (2008)
Resumen: En este artículo se presenta una novedosa metodología para la construcción de modelos borrosos lingüísticamente interpretables, a partir de datos de entrada y salida, de procesos dinámicos. Se describe una sencilla técnica de agrupami
Externí odkaz:
https://doaj.org/article/1eb97455965844c7a66901f78adece4f
Publikováno v:
Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 5, Iss 3, Pp 70-77 (2008)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] A novel methodology for constructing linguistically interpretable fuzzy models, from input and output data, of dynamics processes is presented. An easy clustering technique for constructing fuzzy rules and the application of least square means f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae430932c82ad9d147733ed8c98339c8
https://doi.org/10.1016/s1697-7912(08)70164-x
https://doi.org/10.1016/s1697-7912(08)70164-x
Publikováno v:
IEEE Latin America Transactions. 5:346-351
This article presents a new methodology to obtain fuzzy models linguistically interpretable from input and output data. The proposed methodology includes the class determination and rules generation algorithms, as long as the partition sum-1 of the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0c9e9d24c185c0355b2432837079765
https://doi.org/10.1109/tla.2007.4378527
https://doi.org/10.1109/tla.2007.4378527
Publikováno v:
2013 II International Congress of Engineering Mechatronics and Automation (CIIMA).
This article describes a methodology using neural network models Adaline architecture and linguistically interpretable fuzzy systems, both algorithms were used to classify data signal rocks and metals, obtained through sonar. First, the neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbd6a495b6108a6d5e97822da0ef697b
https://doi.org/10.1109/ciima.2013.6682787
https://doi.org/10.1109/ciima.2013.6682787
Publikováno v:
Iteckne, Vol 8, Iss 2, Pp 177-182 (2011)
A novel approach for the development of linguistically interpretable fuzzy singleton models from experimental data is proposed. The proposed methodology uses triangular sets with 0.5 interpolations. Averaging operator, instead of T-norm operator, is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d471f08b3c84ebabe4ef2364550c261
https://doi.org/10.15332/iteckne.v8i2.37
https://doi.org/10.15332/iteckne.v8i2.37
Publikováno v:
FUZZ-IEEE
A novel approach for the development of linguistically interpretable fuzzy models from data is proposed. Based on this approach a methodology for inverse and indirect adaptive fuzzy control is presented. The proposed methodology includes clustering t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dfe4fba4b1afa1ee75668d17b2525b6
https://doi.org/10.1109/fuzzy.2007.4295604
https://doi.org/10.1109/fuzzy.2007.4295604
Publikováno v:
Electronics, Robotics and Automotive Mechanics Conference (CERMA'06).
At this article a new methodology is proposed to construct linguistically interpretable fuzzy models from input and output data. The proposed methodology includes clustering techniques to determine rules, the minimum squares method to adjust conseque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::446f44e1d89d6f4271e7afb565f37aae
https://doi.org/10.1109/cerma.2006.23
https://doi.org/10.1109/cerma.2006.23
Publikováno v:
Ciencia y tecnología de buques. 3:67
An adaptable fuzzy inference technique is being described in order to generate predictive models of the acceleration of the pitching of a high speed vessel, from the data obtained from the web on an experiment conducted by the University of Iowa. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2410ecdafb30ef9b8d9362a461879352
https://doi.org/10.25043/19098642.25
https://doi.org/10.25043/19098642.25
Publikováno v:
Electronics, Robotics & Automotive Mechanics Conference (CERMA'06); 2006, p117-122, 6p