Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Chia Ju Wu"'
Publikováno v:
Applied Mathematics and Computation. 221:282-295
In this paper, a generalized nonlinear multi-regression model based on Choquet integral (NMRCI) is proposed and applied for estimation of non-additive systems that include outliers under inherent interaction among inputs. The parameters estimation fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37f65692e77e58aa1212ebfc2447505d
https://doi.org/10.1016/j.amc.2013.06.050
https://doi.org/10.1016/j.amc.2013.06.050
Autor:
Chia-Ju Wu, 吳佳儒
105
This study examines community radio stations and the challenges local broadcasting groups confront in the face of the rapid development of new media. By looking into the evolution of radio broadcast in Taiwan, this study seeks to provide a b
This study examines community radio stations and the challenges local broadcasting groups confront in the face of the rapid development of new media. By looking into the evolution of radio broadcast in Taiwan, this study seeks to provide a b
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/35869925239830273151
Publikováno v:
Artificial Life and Robotics. 16:16-20
This article develops a gas detection module for the intelligent home. The module uses eight gas sensors to detect the environment of the home and building. The gas sensors of the module have an NH3 sensor, an air pollution sensor, an alcohol sensor,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c0983833b73d8ccdf7a01408750857f
https://doi.org/10.1007/s10015-010-0875-7
https://doi.org/10.1007/s10015-010-0875-7
Publikováno v:
Applied Soft Computing. 11:3083-3092
This paper demonstrates that radial basis function networks (RBFNs) with support vector regression (SVR) and annealing robust learning algorithm (ARLA) can be used effectively for the identification of the nonlinear dynamic systems with outliers. Whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::588588e964d348ae01b8a5e6f38e137d
https://doi.org/10.1016/j.asoc.2010.12.010
https://doi.org/10.1016/j.asoc.2010.12.010
Publikováno v:
Artificial Life and Robotics. 15:199-202
In general, the inherent interaction among attributes must be considered circumspectly in the study of data mining and information fusion. A nonlinear model with a nonlinear multi-regression model based on the Choquet integral (NMRCI) is suitable for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::151b14e89b7177acd12e78929145ac2d
https://doi.org/10.1007/s10015-010-0790-y
https://doi.org/10.1007/s10015-010-0790-y
Publikováno v:
Artificial Life and Robotics. 15:33-36
An important issue in nonlinear science is parameter estimation for Lorenz chaotic systems. There has been increasing interest in this issue in various research fields, and it could essentially be formulated as a multidimensional optimization problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e34f4212b574fb8061dfdc976915e7e5
https://doi.org/10.1007/s10015-010-0761-3
https://doi.org/10.1007/s10015-010-0761-3
Publikováno v:
Expert Systems with Applications. 37:4441-4451
This paper demonstrates an approach to predict the chaotic time series with outliers using annealing robust fuzzy neural networks (ARFNNs). A combination model that merges support vector regression (SVR), radial basis function networks (RBFNs) and si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::032a1162a292a8d4bf00720065076d0b
https://doi.org/10.1016/j.eswa.2009.12.067
https://doi.org/10.1016/j.eswa.2009.12.067
Publikováno v:
Journal of Vibration and Control. 16:1915-1940
In this paper, the proposed annealing robust radial basis function networks (RBFNs) based on support vector regression (SVR), RBFNs and annealing robust learning algorithm (ARLA) for the nonlinear inverse system identification with outliers. That is,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c7a8a6a2504810b270fb1649af4f34d
https://doi.org/10.1177/1077546309346235
https://doi.org/10.1177/1077546309346235
Publikováno v:
Artificial Life and Robotics. 14:257-261
We have designed a mobile robot with a distribution structure for intelligent life space. The mobile robot was constructed using an aluminum frame. The mobile robot has the shape of a cylinder, and its diameter, height, and weight are 40 cm, 80 cm, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::078565146cd4167a5b3732cd49721a5b
https://doi.org/10.1007/s10015-009-0666-1
https://doi.org/10.1007/s10015-009-0666-1
Publikováno v:
Artificial Life and Robotics. 14:29-33
In this article, annealing robust radial basis function networks (ARRBFNs), which consist of a radial basis function network and a support vector regression (SVR), and an annealing robust learning algorithm (ARLA) are proposed for the prediction of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04cce3587327b85dbb9f52feb9ba24ab
https://doi.org/10.1007/s10015-009-0710-1
https://doi.org/10.1007/s10015-009-0710-1