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

Xiao Laisheng; Zheng Yuandan

doi:doi:10.11648/j.ijiis.20160502.11

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

Xiao Laisheng, Zheng Yuandan

Published in International Journal of Intelligent Information Systems (Volume 5, Issue 2)

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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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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TY  - JOUR
T1  - Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network
AU  - Xiao Laisheng
AU  - Zheng Yuandan
Y1  - 2016/03/14
PY  - 2016
N1  - https://doi.org/10.11648/j.ijiis.20160502.11
DO  - 10.11648/j.ijiis.20160502.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 25
EP  - 36
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20160502.11
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

Xiao Laisheng

Educational Information Center, Guangdong Ocean University, Zhanjiang, China
Zheng Yuandan

Information College, Guangdong Ocean University, Zhanjiang, China

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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

Copy | Download

@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}
}

Copy | Download

TY  - JOUR
T1  - Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network
AU  - Xiao Laisheng
AU  - Zheng Yuandan
Y1  - 2016/03/14
PY  - 2016
N1  - https://doi.org/10.11648/j.ijiis.20160502.11
DO  - 10.11648/j.ijiis.20160502.11
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 25
EP  - 36
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20160502.11
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  -

Copy | Download