Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Wu Kuo-Lin"'
Publikováno v:
Decision Support Systems. 105:66-76
Over the past few decades, a few learning algorithms have been proposed to extract knowledge from data. The majority of these algorithms have been developed with the assumption that training sets can denote populations. When the training sets contain
Autor:
Tseng, Kuo-Feng, Wu, Kuo-Lin
Publikováno v:
In Aquacultural Engineering 2004 31(1):17-30
Publikováno v:
International Journal of Production Research. 55:1898-1913
Small data-set learning problems are attracting more attention because of the short product lifecycles caused by the increasing pressure of global competition. Although statistical approaches and machine learning algorithms are widely applied to extr
Autor:
Der-Chiang Li1 lidc@mail.ncku.edu.tw, Wu-Kuo Lin1
Publikováno v:
Journal of Grey System. 2013, Vol. 25 Issue 4, p96-106. 11p.
Publikováno v:
Expert Systems with Applications. 39:1575-1581
Product life cycles are becoming shorter, especially in the electronics industry. The issue of time to market has thus become a core competency for firms to increase market share. In order to shorten the cycle time from product design to mass product
Autor:
Der-Chiang Li, Wu-Kuo Lin
Publikováno v:
Proceedings of 2013 IEEE International Conference on Grey systems and Intelligent Services (GSIS).
The forecast of short-term time series data is of practical value when enterprises face global competition. However, to successfully make it is difficult because of the limited data size. Therefore, it is considered as a great challenge to improve th
Publikováno v:
Extended Abstracts of the 2008 International Conference on Solid State Devices and Materials.