Applied Study of Pattern Recognition and Near Infrared Spectroscopy

Jing Yin

doi:10.4028/www.scientific.net/AMM.239-240.223

Paper Titles

MMW Radiometric Characteristic Experiments of Water Plant for Environmental Protection
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Angle Measurements with Laser
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Small Infrared Target Detection Based on Low-Rank and Sparse Matrix Decomposition
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Traditional Chinese Medicine Clustering Analysis Based on Near-Infrared Spectroscopy
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Applied Study of Pattern Recognition and Near Infrared Spectroscopy
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Fusion Algorithm of Infrared and Visible Images Based on Multiresolution Decomposition
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Research on Measuring Gas Refractive Index with Microcomputer in Real-Time Based on Michelson Interference Theory
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A Straight-Line Trajectory Tomography Method Based on Multiple Tilted X-Ray Cone-Beams
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The Research of Nondestructive Testing of Apple Acidity Based on Near Infrared Spectroscopy
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 239-240Applied Study of Pattern Recognition and Near...

Applied Study of Pattern Recognition and Near Infrared Spectroscopy

Abstract:

According to the status of lacking fast detection technology to adulteration olive oil, the paper presented a new method based on near infrared spectroscopy technology and pattern recognition. 10 samples of pure olive oil were collected. 2 kinds of adulteration samples were respectively made up with soybean oil and rapeseed oil. The Identification models were build respectively by support vector machines and hierarchial clustering. The result showed that the model’s performance built by SVM was better than the model by hierarchial clustering. The recognition ratio and prediction ratio of SVM were 100%.The experiments shown that the fast detection technology based on NIR and pattern recognition had better feasibility and practicability in identifying adulteration olive oil.

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Periodical:

Applied Mechanics and Materials (Volumes 239-240)

Pages:

223-228

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.239-240.223

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Online since:

December 2012

Authors:

Jing Yin

Keywords:

Near Infrared Spectroscopy (NIRS), Olive Oil, Pattern Recognition

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References

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