Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Kuei-Sung Weng"'
Autor:
Kuei-Sung Weng, 翁桂松
103
A fuzzy classifier using multiple ellipsoids to approximate decision regions for classification is designed in this dissertation. An algorithm called the evolutionary ellipsoidal classification algorithm (EECA) that integrates the genetic al
A fuzzy classifier using multiple ellipsoids to approximate decision regions for classification is designed in this dissertation. An algorithm called the evolutionary ellipsoidal classification algorithm (EECA) that integrates the genetic al
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/3f9ae8
Autor:
Kuei-Sung Weng, 翁桂松
90
The theme of this thesis is to apply Genetic Algorithm (GA) and Gustafson-Kessel (G-K) Algorithm to the fuzzy modeling. A method called Genetic Ellipsoid Learning Algorithm (GELA) is proposed to learn the decision regions for pattern recognit
The theme of this thesis is to apply Genetic Algorithm (GA) and Gustafson-Kessel (G-K) Algorithm to the fuzzy modeling. A method called Genetic Ellipsoid Learning Algorithm (GELA) is proposed to learn the decision regions for pattern recognit
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/74814313454610298473
Autor:
Leehter Yao1 ltyao@ntut.edu.tw, Kuei-Sung Weng1
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2015, Vol. 29 Issue 1, p253-265. 13p.
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 20:3194-3203
A novel disk discrimination approach with two levels of classification is proposed. The optical pickup head is controlled to emit the digital versatile disk laser followed by the compact disk laser during the process of being pulled in from the neutr
Autor:
Leehter Yao, Kuei-Sung Weng
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 22:41-73
A fuzzy classifier using multiple ellipsoids to approximate decision regions for classification is designed in this paper. To learn the sizes and orientations of ellipsoids, an algorithm called evolutionary ellipsoidal classification algorithm (EECA)
Autor:
Kuei Sung Weng, Leeh Ter Yao
Publikováno v:
Applied Mechanics and Materials. :3060-3069
In a noise environment probabilistic fuzzy clustering will force the noise into one or more clusters, seriously influencing the main dataset structure. We extend Type-1 membership values to Type-2 by assigning a possibilistic-membership function to e
Publikováno v:
ACIIDS
For solving the incomplete data problem of missing feature values in prototype data, various strategies were proposed. In this paper, two improved approaches are proposed to estimate the missing values of incomplete data. The two approaches are based
Publikováno v:
ACIIDS
A fuzzy classifier with adaptive learning of the volume of norm inducing matrix is proposed in this paper. The proposed fuzzy classifier improves the Gustafson-Kessel algorithm (GKA) which assumes a fixed volume of the norm inducing matrix. An effici
Publikováno v:
2009 First Asian Conference on Intelligent Information & Database Systems; 2009, p226-231, 6p
Publikováno v:
2009 First Asian Conference on Intelligent Information & Database Systems; 2009, p232-237, 6p