Optical fibre sensors for assessing food quality in full scale production ovens - a principal component analysis and artificial neural network based approach

DOI10.1016/J.NAHS.2006.05.008zbMath1157.93452OpenAlexW1984965841MaRDI QIDQ1005296

J. Martínez

Publication date: 9 March 2009

Published in: Nonlinear Analysis. Hybrid Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nahs.2006.05.008

zbMATH Keywords

PCAartificial neural networks processing for sensor datafood quality sensoroptical fibre colour sensoroptical fibre temperature sensor

Mathematics Subject Classification ID

Production models (90B30) Neural networks for/in biological studies, artificial life and related topics (92B20) Application models in control theory (93C95) Eigenvalue problems (93B60)

Cites Work

• Recognizing marbling in dry-cured Iberian ham by multiscale analysis

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