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The Research on Automatic Liquor Blending Systems Based on Wavelet Neural Networks

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Abstract:

The blending of liquors is a key process in the production of liquors. According to time-frequency localization characteristics of the wavelet transform and advantages of the neural network such as ability to develop, fault-tolerance, self-adaptability, self-learning, and robustness, a mathematic model based on wavelet neural networks is proposed in liquor blending processes with the help of computer-aided design technologies, which makes liquor blending technologies more scientific.

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Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

1019-1022

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.765-767.1019

Citation:

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Online since:

September 2013

Authors:

Lian Jun Hu, Xiao Hui Zeng, Hong Song, Qian Li

Keywords:

Automatic Blending, MATLAB, Wavelet Neural Network (WNN)

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Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

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References

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