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Research on the growth model of aquaculture organisms based on neural network expert system

机译:基于神经网络专家系统的水产养殖生物生长模型研究

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In intensive aquaculture, the growing state of aquaculture organisms is affected by many factors. Among these factors, the quality of aquaculture water has a full impact on the growth of aquaculture organisms. High quality waters will be more conducive to the aquaculture organisms' growth. It can enhance the economic value of the aquaculture, and plays an important role in the aspect of developing the cause of water aquaculture. It is mainly researched in this paper that how to establish the model about the growing status of aquaculture organisms which is based on the artificial neural network expert system. The growing state model affected by many water quality parameters is established in this project, and using artificial neural network technology can solve the bottleneck problem in the expert system. Experiment results have proved that the method is effective. When the parameters of aquaculture water changing, we can deduce that how change the growing state of the aquaculture organisms correspondingly by the model.
机译:在集约化水产养殖中,水产养殖生物的生长状态受到许多因素的影响。在这些因素中,水产养殖水的质量对水产养殖生物的生长有完全影响。高质量的水将更有利于水产养殖生物的生长。它可以提高水产养殖的经济价值,并在发展水产养殖事业方面发挥重要作用。本文主要研究如何建立基于人工神经网络专家系统的水产养殖生物生长状况模型。本项目建立了受多种水质参数影响的生长状态模型,利用人工神经网络技术可以解决专家系统中的瓶颈问题。实验结果证明了该方法的有效性。当水产养殖用水的参数发生变化时,我们可以通过模型推论出水产养殖生物的生长状态如何发生相应的变化。

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