A statistical method for massive data based on partial least squares algorithm
Partial least squares are the most widely used identification algorithm, but the algorithm cannot achieve real-time performance for massive data. To solve this application contradiction, a parallel computing strategy based on NVIDIA CU-DA architecture is proposed to implement the partial least squar...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns.2023.2.00102 |