Neural networks (NNs) are often used as black-box techniques for the modelling of system relations. Standard NNs are static models, whereas in practice one often has to deal with dynamic systems or processes. In such cases, dynamic neural networks (DNNs) may be better suited. We will argue that the
Autoassociative neural networks for robust dynamic data reconciliation
β Scribed by Shuanghua Bai; David D. McLean; Jules Thibault
- Publisher
- American Institute of Chemical Engineers
- Year
- 2007
- Tongue
- English
- Weight
- 291 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0001-1541
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