Zobrazeno 1 - 10
of 373
pro vyhledávání: '"high dimensional space"'
Publikováno v:
IEEE Access, Vol 9, Pp 113683-113691 (2021)
Predefined evenly-distributed class centroids (PEDCC) can be widely used in models and algorithms of pattern classification, such as CNN classifiers, classification autoencoders, clustering, and semi-supervised learning, etc. Its basic idea is to pre
Externí odkaz:
https://doaj.org/article/8ceddfad0a164fcfac5542fa2b5f06dd
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
With the rapid development of urban power grids, distributed renewable energy sources and adjustable loads have increased significantly, resulting in more complex operation conditions, increasing the difficulty of power flow calculations. The usage o
Externí odkaz:
https://doaj.org/article/d88e31d1024d4eb28f22842b76d46707
Publikováno v:
IET Generation, Transmission & Distribution, Vol 14, Iss 13, Pp 2441-2449 (2020)
Security constrained unit commitment (SCUC), with renewable resources integrated into power grid, is one core function in the day‐ahead market. However, it confronts with critical challenges as the heavy complicated security constraints are conside
Externí odkaz:
https://doaj.org/article/c68bc4f90968416a965e49aa73c0c2fa
Akademický článek
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Framework of Meta-Heuristic Variable Length Searching for Feature Selection in High-Dimensional Data
Publikováno v:
Computers, Vol 12, Iss 1, p 7 (2022)
Feature Selection in High Dimensional Space is a combinatory optimization problem with an NP-hard nature. Meta-heuristic searching with embedding information theory-based criteria in the fitness function for selecting the relevant features is used wi
Externí odkaz:
https://doaj.org/article/334ce76cc94c4cbbb85c63df0bb5f7c3
Publikováno v:
Buildings, Vol 12, Iss 11, p 1907 (2022)
Building energy simulation plays a significant role in buildings, with applications such as building performance evaluation, retrofit decisions and the optimization of building operations. However, the wide range of model inputs has limited much rese
Externí odkaz:
https://doaj.org/article/7658e4e7b35c4b5a89d696a8854798a6
Autor:
Heng-Guo Zhang, Libo Wu
Publikováno v:
IEEE Access, Vol 7, Pp 38356-38368 (2019)
Many bubble test methods do not have the ability to predict multiple bubbles in a high dimensional space now. Therefore, we propose a data-driven, self-adaptive evolutionary bubble prediction algorithm named WSADF. First, according to the invariance
Externí odkaz:
https://doaj.org/article/f505a418b7ce4193ae1c74ad112fe94b
Publikováno v:
IEEE Access, Vol 7, Pp 94520-94532 (2019)
Dissolved gases in oil are major parameters for assessing the health state of power transformers. Recognizing that the existing state recognition methods are often restrained by data fluctuation and usually require greater computational load, this pa
Externí odkaz:
https://doaj.org/article/8c3864986a1140378f6da19bd8e00292