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Estimation of Some Crucial Variables in Erythromycin Fermentation Process Based on ANN Left-Inversion.
- Source :
- Advances in Neural Networks - ISNN 2006 (9783540344827); 2006, p1085-1090, 6p
- Publication Year :
- 2006
-
Abstract
- For the on-line estimation of some directly immeasurable crucial variables in erythromycin fermentation process, this paper presents an Artificial Neural Network (ANN) left-inversion based on the "assumed inherent sensor" and its left-inversion concepts. The ANN left-inversion is composed of two relatively independent parts ( a static ANN used to approximate the complex nonlinear function and several differentiators used to represent its dynamic behaviors, so that the ANN left-inversion is a special kind of dynamic ANN in essence. Different from common dynamic ANNs, such a separate structure makes the ANN left-inversion easier to use, hence facilitating its application. The ANN left-inversion has been used to estimate such immeasurable variables as mycelia concentration, sugar concentration and chemical potency in erythromycin fermentation process. The experimental results show its validity. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540344827
- Database :
- Supplemental Index
- Journal :
- Advances in Neural Networks - ISNN 2006 (9783540344827)
- Publication Type :
- Book
- Accession number :
- 32862529
- Full Text :
- https://doi.org/10.1007/11760191_158