Markov Chain Neighborhood Sparse Preserving Graph Embedding Based on Tensor Factorization for Batch Process Monitoring
If the three-dimension data of batch process are unfolded the two-dimension data, some important information would lose, and outliers such as noise would lead to poor monitoring results. Therefore, a Markov chain neighborhood sparse preserving graph embedding algorithm based on tensor factorization...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
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IEEE
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/cede10b795c042ae865b956303eb1637 |
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