Stochastic configuration network (SCN) is an emerging incremental randomized regression
modeling technology with the advantages of adaptively determining the hidden layer …

In industrial processes, quality variable prediction is important for process control and
monitoring. Deep learning (DL) methods offer excellent prediction performance and …

The use of dynamic soft sensor modeling methods to mine the time-varying and dynamic
characteristics of industrial process data is of great significance for improving production …

Soft sensing mainly studies the real-time prediction of some key performance indicators or
quality variables in the actual production process, which has the role of guiding production …

Dealing with the dynamics of an industrial process using machine learning techniques has
been a paradigm throughout decades of technological advancement. Motivated by …

Measurement of sulfur compounds in the tail gas flow in the sulfur recovery unit is necessary
in order to fine control the combustion furnace airflow and efficiency enhancement. In this …