Paper Info
Title
Research on the growth model of aquaculture organisms based on neural network expert system
Abstract
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.
Year
DOI
Venue
2010
10.1109/ICNC.2010.5584492
ICNC
Keywords
Field
DocType
growing state of aquaculture organisms,expert system,expert systems,intensive aquaculture,water quality parameters,aquaculture organisms,aquaculture,economic value,bottleneck problem,artificial neural network expert system,artificial neural network,growth model,economics,neural nets,aquaculture water,growing state model,organisms,artificial neural networks,neural network
Bottleneck,Aquaculture,Growth model,Biochemical engineering,Computer science,Expert system,State model,Artificial intelligence,Artificial neural network,Machine learning
Conference
Volume
ISBN
Citations 
4
978-1-4244-5958-2
1
PageRank 
References 
Authors
0.48
1
5
Name
Order
Citations
PageRank
Changhui Deng121.51
Yan-Ping Gao261028.43
Jun Gu310.48
Xinying Miao410.48
Li Songsong5243.76