Title :
Application of support vector machines in detection technology based on near infrared spectroscopy
Author :
Wu Jingzhu ; Liu Cuiling ; Sun Xiaorong
Author_Institution :
Sch. of Comput. Sci. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
This paper discusses the application of support vector machines in detection technology based on near infrared spectroscopy. Results of qualitative test indicate that the combination of SVM and NIR can be used as a fast, convenient, nondestructive and safe technology to identify standard and sub-standard milk powder. Results of quantitative test indicate SVM has better performance than BP neural network in building quantitative model based on NIR.
Keywords :
backpropagation; dairy products; image recognition; infrared spectroscopy; optical images; support vector machines; backpropagation neural network; detection technology; near infrared spectroscopy; sub-standard milk powder; support vector machines; Artificial neural networks; Business; Electronic mail; Mathematical model; Pattern recognition; Spectroscopy; Support vector machines; BP Neural Network; Near Infrared Spectroscopy; Pattern Recognition; Support Vector Machines;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
