Title :
Research on the Model of Mixing Wine Bodies Based on Neural Network
Author :
Jianping, Ren ; Zhimin, Li
Author_Institution :
Inst. of Electron. & Inf. Eng., Suzhou Univ. of Sci. & Technol., Suzhou, China
Abstract :
Aiming at instability of the quality of liquor blending and seasoning process, this paper puts out making use of advanced detecting system to acquire information on wine bodies physical-chemical ingredient, raises to 100 kinds of the non-skeletons ingredients of wine bodies. Meanwhile, by using the technology of computer and database, liquor fingerprint is draw, and information on physical-chemical ingredient is analyzed in BP neural network, and achieving the object of intelligent blending of liquor is realized.
Keywords :
backpropagation; beverages; blending; BP neural network; advanced detecting system; backpropagation; intelligent liquor blending; liquor blending quality; liquor fingerprint; mixing wine bodies; seasoning process; wine bodies physical-chemical ingredient; Chemical analysis; Chemical processes; Databases; Fingerprint recognition; Information analysis; Intelligent networks; Laboratories; Neural networks; Production facilities; Water pollution; BP Neutral Networks; fingerprint; information on physical-chemical ingredient; intelligent blending of liquor; liquor blending;
Conference_Titel :
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location :
Taiyuan, Shanxi
Print_ISBN :
978-0-7695-3679-8
DOI :
10.1109/ICIE.2009.224
