Comparative study of black-box and hybrid estimation methods in fed-batch fermentation

By Scott C. James, R. Legge, H. Budman. 2002

111 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/1fb95aafdedc0548b9b0c248989d7c90573a3a71

How researchers see this paper

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

In Control and Systems Engineering

1. Sebastião Feyo de Azevedo
2. Bogdan Gabrys
3. Rui Oliveira
4. Sibylle Strandt
5. Petr Kadlec
6. Okyay Kaynak
7. Shen Yin

In Molecular Biology

1. Sebastião Feyo de Azevedo
2. Bogdan Gabrys
3. Rui Oliveira
4. Moritz von Stosch
5. Sibylle Strandt
6. Joana Peres
7. Petr Kadlec

Citations in the corpus

• Data-driven Soft Sensors in the process industry (2009, methodology): “Another performance comparison between an MLP and an RBFN was published in James et al. (2002). In this work, these two models are also compared to a grey-box model based on a first principle model and either an MLP or an RBFN.”
• Hybrid semi-parametric modeling in process systems engineering: Past, present and future (2014, methodology): “The advantage of RBFNs is that they have certain, inherent stability characteristics, which make them suitable for control and monitoring, [82].”