Dynamic models for drying and wet-milling quality degradation of corn using neural networks - Archive ouverte HAL Access content directly
Journal Articles Drying Technology Year : 1997

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

Abstract

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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hal-01200650 , version 1 (16-09-2015)

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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⟩
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