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Dynamic models for drying and wet-milling quality degradation of corn using neural networks
Article de revue   Avec comité de lecture

Dynamic models for drying and wet-milling quality degradation of corn using neural networks

Ioan-Cristian Trelea, Francis Courtois, Gilles Trystram et Ecole Nationale Superieure des Industries Agricoles et Alimentaires, Massy, France
Drying technology, Vol.15(3), pp.1095-1102
1997

Résumé

Automatic Chemical and Process Engineering Engineering Sciences
Non-linear dynamic models of corn drying and wet-milling quality degradation are obtained directly from experimental data. No assumptions about the underlying mechanisms are made. Relative advantages of recurrent versus explicit-time models and technical issues are discussed. This type of model is well suited for very fast on-line simulations, for example in a predictive optimal control algorithm.

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