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Information Technology Journal
  Year: 2014 | Volume: 13 | Issue: 7 | Page No.: 1471-1473
DOI: 10.3923/itj.2014.1471.1473
 
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Genetic Algorithm: Artificial Neural Network Modeling of Process for Flocculation of Lotus Leaf Beverage

Libin Xu, Yaqi Liu, Xia Zhu, Jinhua Wang and Chao Wang

Abstract:
The process for flocculation of lotus leaf beverage by using soyabean protein was investigated in this study. Processing factors were soybean heating temperature, NaOH concentration and soybean heating time. Genetic algorithm-artificial neural network model was used to optimize the different influencing factors on flocculation. Back-propagation network was chosen as the network model. Weights and basis of network was optimized using genetic algorithm. The developed GA-ANN which included 9 hidden neurons could predict clarifies degrees of lotus leaf beverage with correlation of 0.94. The results indicating that GA-ANN model provided an accurate prediction for lotus leaf clarify beverage degrees.
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How to cite this article:

Libin Xu, Yaqi Liu, Xia Zhu, Jinhua Wang and Chao Wang, 2014. Genetic Algorithm: Artificial Neural Network Modeling of Process for Flocculation of Lotus Leaf Beverage. Information Technology Journal, 13: 1471-1473.

DOI: 10.3923/itj.2014.1471.1473

URL: https://scialert.net/abstract/?doi=itj.2014.1471.1473

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