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Dynamic Models for Drying and Wet-Milling Quality Degradation of Corn Using Neural Networks

 

作者: I.C. Trelea,   F. Courtois,   G. Trystram,  

 

期刊: Drying Technology  （Taylor Available online 1997）
卷期: Volume 15, issue 3-4  

页码: 1095-1102

 

ISSN:0737-3937

 

年代: 1997

 

DOI:10.1080/07373939708917280

 

出版商: Taylor & Francis Group

 

关键词: black-box model;maize;nonlinear model

 

数据来源: Taylor

 

摘要:

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.

 

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