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- W1584103635 abstract "This paper investigate the feasibility using of grey-box neural type models (GNM) for design and operation of model based Real Time Optimization (RTO) systems operating in a dynamical fashion. The GNM is based on fundamental conservation laws associated with neural networks (NN) used to model uncertain parameters. The proposed approach is applied to the simulated Williams-Otto reactor, considering three GNM process approximations. Obtained results demonstrate the feasibility of the use of the GNM models in the RTO technology in a dynamic fashion." @default.
- W1584103635 created "2016-06-24" @default.
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- W1584103635 date "2003-01-01" @default.
- W1584103635 modified "2023-10-05" @default.
- W1584103635 title "Real-time optimization systems based on grey-box neural models" @default.
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- W1584103635 doi "https://doi.org/10.1016/s1570-7946(03)80147-5" @default.
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