Title :
Composite indicators detector for measuring harmful substances in milk
Author :
Yuan, Wenju ; Wang, Xin ; Jia, Anping ; Zhao, Kongxin ; Zhang, Zhiyi
Author_Institution :
Coll. of Comput. Sci. & Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
An electronic analytical detector was designed in this paper, which can measure composite indicators of harmful substances contained in fresh milk. The basic principle of the instrument measuring composite indicators was given firstly. Secondly the instrument structure and circuit design methods with parallel processing by a variety of sensors and processors were explained. On this basis, the mathematics model of fresh milk quality was given based on artificial neural network, which consists of a hidden layer structure, improved BP network. Finally the test data were presented, which shows the accuracy and reliability of the designed detector.
Keywords :
backpropagation; chemical hazards; chemical technology; dairy products; food safety; mathematical analysis; network synthesis; neural nets; parallel processing; production engineering computing; sensors; test equipment; BP network; artificial neural network; circuit design; composite indicator detector; electronic analytical detector; fresh milk quality; harmful substance; hidden layer structure; instrument structure; mathematics model; parallel processing; processor; sensor; Dairy products; Instruments; Mathematical model; BP network; composite indicators; fresh milk quality; parallel processing;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610039
