A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle
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Title
A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle
Authors
Keywords
Internet of vehicles, Fuzzy neural network, Data missing, Tensor, Heterogeneous ensemble learning, Imputation
Journal
NEUROCOMPUTING
Volume 420, Issue -, Pages 98-110
Publisher
Elsevier BV
Online
2020-09-30
DOI
10.1016/j.neucom.2020.09.042
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- (2010) Evrim Acar et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
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- (2010) Zhaohong Deng et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
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- (2009) Li Qu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Tensor Decompositions and Applications
- (2009) Tamara G. Kolda et al. SIAM REVIEW
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