Dynamic Models for Drying and Wet-Milling Quality Degradation of Corn Using Neural Networks
- 1 January 1997
- journal article
- research article
- Published by Taylor & Francis in Drying Technology
- Vol. 15 (3-4) , 1095-1102
- https://doi.org/10.1080/07373939708917280
Abstract
Non-linear dynamic models of corn drying and wet-milling quality degradation are obtaineddirectly 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.Keywords
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