Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ning Ning Huang"'
Publikováno v:
Energies, Vol 9, Iss 2, p 70 (2016)
This paper proposes a new electric load forecasting model by hybridizing the fuzzy time series (FTS) and global harmony search algorithm (GHSA) with least squares support vector machines (LSSVM), namely GHSA-FTS-LSSVM model. Firstly, the fuzzy c-mean
Externí odkaz:
https://doaj.org/article/67e99049ab2846e7ac40e134c94ea392
Publikováno v:
Energies; Volume 9; Issue 2; Pages: 70
Energies, Vol 9, Iss 2, p 70 (2016)
Energies, Vol 9, Iss 2, p 70 (2016)
This paper proposes a new electric load forecasting model by hybridizing the fuzzy time series (FTS) and global harmony search algorithm (GHSA) with least squares support vector machines (LSSVM), namely GHSA-FTS-LSSVM model. Firstly, the fuzzy c-mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::308a046c57df8f4cf31ba6b2f273e0af
https://doi.org/10.3390/en9020070
https://doi.org/10.3390/en9020070
Publikováno v:
2012 International Conference on Computational Problem-Solving (ICCP).
Supporting effective and efficient data delivery in delay tolerant networks (DTNs) is a challenging problem due to the nature of the network. In this paper, we propose to use network coding technique based on Growth Code to improve the performance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6430a1f6e46ce1f389f4fe23774e86d4
https://doi.org/10.1109/iccps.2012.6384268
https://doi.org/10.1109/iccps.2012.6384268
Publikováno v:
*McMaster only.
Thesis (Ph.D.)--McMaster University, 2005.
Supervisor: Wei-Ping Huang Includes bibliographical references (p. 241-260).
Supervisor: Wei-Ping Huang Includes bibliographical references (p. 241-260).
Externí odkaz:
http://libaccess.mcmaster.ca/login?url=http://wwwlib.umi.com/dissertations/fullcit/NR04233
Publikováno v:
2012 International Conference on Computational Problem-Solving (ICCP); 1/ 1/2012, p40-45, 6p