Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Kuo-Shong Wang"'
Publikováno v:
Journal of Applied Mathematics, Vol 2015 (2015)
This paper deals with the analysis and design of positivity and stability of linear continuous conic systems. First, two robustness analysis theorems are proposed for the systems with state-feedback. Second, the state-feedback stabilization problem i
Externí odkaz:
https://doaj.org/article/75590b1bbdf84b0fa8e4243450933fc8
Publikováno v:
Neural Computing and Applications. 31:6013-6025
The task of detecting a rare but important class has extensively been studied in the machine learning community. It is commonly agreed that traditional classifiers are certainly limited to imbalanced datasets and do not perform well. A number of solu
Autor:
Kuo-Shong Wang, Eang-Hao Wan
Publikováno v:
International Journal of Quality & Reliability Management, 1993, Vol. 10, Issue 7.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/02656719310043805
Publikováno v:
Neural Computing and Applications. 26:679-691
The class imbalance problem occurs when the classifier is to detect a rare but important class. The purpose of this paper is to study whether possible sources of error are not only the imbalance but also other factors in combination, which lead to th
Publikováno v:
Journal of Engineering Design. Mar2003, Vol. 14 Issue 1, p41. 16p.
Autor:
Chung-Ling Chen, Kuo-Shong Wang
Publikováno v:
Science and Engineering of Composite Materials, Vol 19, Iss 1, Pp 81-88 (2012)
This study aims to investigate the relation of hazard rate in terms of the corresponding reliability for composite laminates under constant-amplitude cyclic stresses when the static strength is described by the Weibull distribution and the S-N curve
Autor:
Kuo-Shong Wang, Chung-Ling Chen
Publikováno v:
Science and Engineering of Composite Materials, Vol 18, Iss 1-2, Pp 61-67 (2011)
This paper defines two parameters to describe the effects of fatigue load adjustment on the reliability degradation of composites. The transition period, n2a, indicates the free failure time period from the instant of high-low adjustment until the re
Bayesian decision theory for support vector machines: Imbalance measurement and feature optimization
Publikováno v:
Expert Systems with Applications. 38:4698-4704
Research highlights? In imbalanced problems, we propose a method based on assessing the interplay between various classification decisions using probability, corresponding decision costs, and optimal margin. Such a more structured model specially des
Decision learning about production control as machines break down in a flexible manufacturing system
Publikováno v:
International Journal of Flexible Manufacturing Systems. 7:73-92
During manufacturing, there are many situations that can affect production performance. Such situations include machine breakdowns, rush orders, order changes, and order delays. When such issues occur, one has to make decisions to try to maintain pro
Publikováno v:
International Journal of Computer Integrated Manufacturing. 6:281-292
Due to the dynamic characteristic shown in manufacturing systems, production efficiency is not easily maintained as we plan, especially when an abnormal situation (e.g. machine breakdown, rush order, etc.) occurs. An intelligent decision system for a