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Grid index subspace constructed locally weighted learning identification modeling for high dimensional ship maneuvering system
Bai,Weiwei1; Ren,Junsheng2; Li,Tieshan2; Chen,C. L.Philip2,3
2019-03-01
Source PublicationISA Transactions
ISSN0019-0578
Volume86Pages:144-152
AbstractFor off-line locally weighted learning (LWL), all training data points need to be stored in memory, which would lead to a heavy computational burden, especially for large amount of training data. To avoid heavy computational burden in LWL, the grid index subspace constructed algorithm is presented for high dimensional ship maneuvering system in this study. First, high dimensional training data can be encoded and stored in equal interval grid, and training data are divided into grids. Second, query point is encoded by using the same strategy as in the first step, and the grid number which belongs to the query point is obtained. Third, the subspace would be per-allocated to the query point by using the grid index which has a light computational complexity. Different from the general cluster algorithm, a subspace rather than a neighborhood is assigned to query point. This way, LWL is carried out in a subspace, and the computational complexity is significantly reduced. As a consequence, real-time performance is effectively guaranteed. Finally, theoretical calculations and simulation examples are given to validate the effectiveness of the proposed scheme.
KeywordGrid index High dimensional ship maneuvering system Locally weighted learning Multi-innovation iterative Subspace constructed
DOI10.1016/j.isatra.2018.11.001
URLView the original
Language英语
Scopus ID2-s2.0-85056696132
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Cited Times [WOS]:4   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorBai,Weiwei
Affiliation1.Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control,School of Automation,Guangdong University of Technology,Guangzhou,510006,China
2.Navigation College,Dalian Maritime University,Dalian,116026,China
3.Computer and Information Science,Faculty of Science and Technology,University of Macau,Macau,999078,China
Recommended Citation
GB/T 7714
Bai,Weiwei,Ren,Junsheng,Li,Tieshan,et al. Grid index subspace constructed locally weighted learning identification modeling for high dimensional ship maneuvering system[J]. ISA Transactions,2019,86:144-152.
APA Bai,Weiwei,Ren,Junsheng,Li,Tieshan,&Chen,C. L.Philip.(2019).Grid index subspace constructed locally weighted learning identification modeling for high dimensional ship maneuvering system.ISA Transactions,86,144-152.
MLA Bai,Weiwei,et al."Grid index subspace constructed locally weighted learning identification modeling for high dimensional ship maneuvering system".ISA Transactions 86(2019):144-152.
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