Application of liquor blending system Based on wavelet neural network
Article introduces time-frequency local characteristics and with army focal properties of wavelet transform and wavelet neural network has since learning and adaptive, robustness, fault tolerance and the generalization ability of neural network, firstly, acquisition liquor by using of chromatography technology gets liquor samples analysis data, again to establish the data modal though wavelet neural network method, find out the liquor micro morphological characteristics, So as to construct the liquor blending computer network management. This system improves the blending, seasoning working condition, greatly reducing the number of taste, shorten the blending and flavoring cycle, and improving work efficiency.
Liquor blending Wavelet change Neural network BP algorithm
Qian Li Hong Song Lianjun Hu Weipeng Zhou
Sichuan University of Science & Engineering Automation and Electronic-information Zigong Sichuan 643 Sichuan University of Science & Engineering Mechanical Engineering Zigong Sichuan 643000, P,R. China
国际会议
重庆
英文
874-877
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）