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

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.