Software Sensor Design Using Bayesian Automatic Classification and Back-Propagation Neural Networks
Author:
Affiliation:
1. Department of Chemical Engineering, The University of Leeds, Leeds LS2 9JT, U.K.
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie980230a
Reference23 articles.
1. Enhancing bioprocess operability with generic software sensors
2. Industrial reactor modelling with artificial neural networks
3. On-line prediction of fermentation variables using neural networks
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