A novel predictive architecture for micr
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J.L. Pedreño-Molina; J. Monzó-Cabrera; A. Toledo-Moreo; D. Sánchez-Hernández
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Article
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2005
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Elsevier Science
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English
⚖ 334 KB
In this contribution, a novel learning architecture based on the interconnection of two different learning-based neural networks has been used to both predict temperature and drying curves and solve inverse modelling equations in microwave-assisted drying processes. In this way, a neural model that