ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process

By J. Gonzaga, L. Meleiro, C. Kiang, R. M. Filho. Computers and Chemical Engineering, 2009

351 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/c8b5a3232ef6aaf2d3568f06951102a1750e1cac

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Rui Alexandre de Matos Araújo
2. Francisco Alexandre A. Souza
3. Jérôme Mendes

In Control and Systems Engineering

1. Rui Alexandre de Matos Araújo
2. Francisco Alexandre A. Souza
3. Jérôme Mendes
4. Zhiqiang Ge
5. Qingqiang Sun

Citations in the corpus

• Review of soft sensor methods for regression applications (2016, methodology): “In such CC variable selection method, the linear strength between each input and the target is computed using the Pearson correlation coefficient, and the variables are ranked according to their strength [1; 40; 41].”
• Data Mining and Analytics in the Process Industry: The Role of Machine Learning (2017, neutral): “[187] developed a ANN-based soft sensor for real-time process monitoring and control of an industrial polymerization process.”