Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network
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.
Bread Shrimp Microbe Growth Simulation and Prediction System Based on Neural Network, International Journal of Intelligent Information Systems.
Vol. 5, No. 2,
2016, pp. 25-36.
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