A Local Quadratic Embedding Learning Algorithm and Applications for Soft Sensing
Inspired by the tremendous achievements of meta-learning in various fields, this paper proposes the local quadratic embedding learning (LQEL) algorithm for regression problems based on metric learning and neural networks (NNs). First, Mahalanobis metric learning is improved by optimizing the global...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2022-11-01
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| Серія: | Engineering |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2095809922006440 |
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