Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling

Broad learning system (BLS) is a novel neural network with effective and efficient learning ability. BLS has attracted increasing attention from many scholars owing to its excellent performance. This article proposes a weighted BLS (WBLS) based on BLS to tackle the noise and outliers in an industria...

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Vydané v:	IEEE transaction on neural networks and learning systems Ročník 31; číslo 8; s. 3017 - 3031
Hlavní autori:	Chu, Fei, Liang, Tao, Chen, C. L. Philip, Wang, Xuesong, Ma, Xiaoping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Automation Broad learning system (BLS) Control engineering Heuristic algorithms incremental learning algorithm Learning Learning algorithms Learning systems Machine learning Modelling Neural networks Noise noise and outliers Outliers (statistics) Process control Retraining Training weighted penalty factor
ISSN:	2162-237X, 2162-2388, 2162-2388
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