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

Ioan-Cristian Trelea (1) , Francis Courtois (1) , Gilles Trystram (1)

1 Ecole Nationale Supérieure des Industries Agricoles et Alimentaires

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.

Mots clés: nonlinear model; maize; black-box model

Domaines: Automatique / Robotique; Génie des procédés

Ioan-Cristian Trelea, Francis Courtois, Gilles Trystram. Dynamic models for drying and wet-milling quality degradation of corn using neural networks. Drying Technology, 1997, 15 (3), pp.1095-1102. ⟨10.1080/07373939708917280⟩. ⟨hal-01200650⟩