Comparative analysis of time series neural network methods for three-way catalyst modeling

Relative Oxygen Level of the Three-Way Catalyst is an important parameter that affects the conversion efficiency of pollutants. ROL is a time-varying hidden state variable that is difficult to directly observe in practice. Therefore, it is common to use a method of clearing oxygen storage to simplif...

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Detalhes bibliográficos

Principais autores:	Zhuoxiao Yao, Tao Chen, Weipeng Lin, Yifang Feng, Zengchun Wei
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-09-01
coleção:	Energy and AI
Assuntos:	Relative Oxygen Level Neural network modeling Long short-term memory Nonlinear auto-regressive network with eXogenous inputs
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2666546824000600
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