DocumentCode
523555
Title
Application of Wavelet Neural Network in a Blending System of Distilled Spirits
Author
Lianjun, Hu ; Xiaohui, Zeng ; Hong, Song
Author_Institution
Sichuan Univ. of Sci. & Eng., Zigong, China
Volume
1
fYear
2010
fDate
11-12 May 2010
Firstpage
785
Lastpage
787
Abstract
The blending process is a key link in the production of distilled spirits. Making full use of super calculating and reasoning abilities of digital signal processors, a blending system of distilled spirits is designed which adopts a DSP as its kernel. Meantime, wavelet transform and neural network are introduced in the blending system, which makes blending techniques more scientific and minute.
Keywords
blending; digital signal processing chips; distilleries; fermentation; neural nets; production engineering computing; wavelet transforms; blending system; digital signal processors; distilled spirits; wavelet neural network; wavelet transform; Circuits; Computer displays; Computer networks; Digital signal processing; Human factors; Neural networks; Production; Storage automation; Switches; Time measurement; Blending of distilled spirits; Neural network; Wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.336
Filename
5522594
Link To Document