Machine Learning Calibration for Near Infrared Spectroscopy Data: A Visual Programming Approach-Reference-Cited by-同舟云学术

Machine Learning Calibration for Near Infrared Spectroscopy Data: A Visual Programming Approach

Published:2020-07-08 Issue: Volume: Page:577-590
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Solihin Mahmud Iwan,Zekui Zheng,Ang Chun Kit,Heltha Fahri,Rizon Mohamed

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5281-6_40

Reference34 articles.

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3. Hong TS, Kit AC, Nia DN, Ariffin MKAM, Khaksar W (2013) Planning for redundant manipulator based on back-propagation neural network. Adv Sci Lett 19(11):3307–3310

4. Cen H, He Y (2007) Theory and application of near infrared reflectance spectroscopy in determination of food quality. Trends Food Sci Technol 18(2):72–83

5. Teixeira Dos Santos CA, Lopo M, Páscoa RNMJ, Lopes JA (2013) A review on the applications of portable near-infrared spectrometers in the agro-food industry. Appl Spectrosc 67(11):1215–1233

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