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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Главные авторы:	Yaoyao Bao, Yuanming Zhu, Feng Qian
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2022-11-01
Серии:	Engineering
Предметы:	Local quadratic embedding Metric learning Regression machine Soft sensor
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2095809922006440
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