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Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network

Received: 22 January 2016     Accepted: 3 February 2016     Published: 14 March 2016
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Abstract

According to the requirements of a scientific research project, a set of bread shrimp microbial growth simulation and prediction system is designed and implemented in detail. The system is established by taking vibrio parahemolyticus in bread shrimp as research objects, according to effects of temperature, salt and time on their growth, and employing neural network technology. In order to improve its compatibility, the system is developed by using C# on Visual Studio 2008 platform, and its design and implementation are based on Aforge.NET framework and sliding-window modeling method. The system consists of three parts: data management, data simulation and data prediction, which would provide an effective analytical tool for bread shrimp safe production. After tested carefully, the system can meet the requirements of the project design.

Published in International Journal of Intelligent Information Systems (Volume 5, Issue 2)
DOI 10.11648/j.ijiis.20160502.11
Page(s) 25-36
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Neural Network, AForge.NET, Simulation and Prediction System, Microbial Growth, Bread Shrimp

References
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Cite This Article
  • APA Style

    Xiao Laisheng, Zheng Yuandan. (2016). Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network. International Journal of Intelligent Information Systems, 5(2), 25-36. https://doi.org/10.11648/j.ijiis.20160502.11

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    ACS Style

    Xiao Laisheng; Zheng Yuandan. Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network. Int. J. Intell. Inf. Syst. 2016, 5(2), 25-36. doi: 10.11648/j.ijiis.20160502.11

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    AMA Style

    Xiao Laisheng, Zheng Yuandan. Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network. Int J Intell Inf Syst. 2016;5(2):25-36. doi: 10.11648/j.ijiis.20160502.11

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  • @article{10.11648/j.ijiis.20160502.11,
      author = {Xiao Laisheng and Zheng Yuandan},
      title = {Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network},
      journal = {International Journal of Intelligent Information Systems},
      volume = {5},
      number = {2},
      pages = {25-36},
      doi = {10.11648/j.ijiis.20160502.11},
      url = {https://doi.org/10.11648/j.ijiis.20160502.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20160502.11},
      abstract = {According to the requirements of a scientific research project, a set of bread shrimp microbial growth simulation and prediction system is designed and implemented in detail. The system is established by taking vibrio parahemolyticus in bread shrimp as research objects, according to effects of temperature, salt and time on their growth, and employing neural network technology. In order to improve its compatibility, the system is developed by using C# on Visual Studio 2008 platform, and its design and implementation are based on Aforge.NET framework and sliding-window modeling method. The system consists of three parts: data management, data simulation and data prediction, which would provide an effective analytical tool for bread shrimp safe production. After tested carefully, the system can meet the requirements of the project design.},
     year = {2016}
    }
    

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    T1  - Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network
    AU  - Xiao Laisheng
    AU  - Zheng Yuandan
    Y1  - 2016/03/14
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    JO  - International Journal of Intelligent Information Systems
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    AB  - According to the requirements of a scientific research project, a set of bread shrimp microbial growth simulation and prediction system is designed and implemented in detail. The system is established by taking vibrio parahemolyticus in bread shrimp as research objects, according to effects of temperature, salt and time on their growth, and employing neural network technology. In order to improve its compatibility, the system is developed by using C# on Visual Studio 2008 platform, and its design and implementation are based on Aforge.NET framework and sliding-window modeling method. The system consists of three parts: data management, data simulation and data prediction, which would provide an effective analytical tool for bread shrimp safe production. After tested carefully, the system can meet the requirements of the project design.
    VL  - 5
    IS  - 2
    ER  - 

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Author Information
  • Educational Information Center, Guangdong Ocean University, Zhanjiang, China

  • Information College, Guangdong Ocean University, Zhanjiang, China

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