DocumentCode
637120
Title
Research of fish disease diagnosis expert system based on artificial neural networks
Author
Changhui Deng ; Wei Wang ; Jun Gu ; Xiangnan Cao ; Chan Ye
Author_Institution
Liaoning Provincial Key Lab. of Ocean Inf., Dalian Ocean Univ., Dalian, China
fYear
2013
fDate
28-30 July 2013
Firstpage
591
Lastpage
595
Abstract
There is a lot of expert knowledge in fish disease diagnostic process. Aimed at the drawbacks of expert diagnosis such as low level of intelligence and poor practicality, a new structure of fish disease diagnostic expert system based on neural networks is proposed. The diagnosis system uses the old cases of fish disease to train the neural network, and the disease diagnosis is achieved through the trained neural network. This method can realize the diagnosis of fish disease timely and rapidly, and provide a new effective method to the development of fish disease diagnosis system.
Keywords
aquaculture; expert systems; learning (artificial intelligence); neural nets; artificial neural networks; expert knowledge; fish disease diagnosis expert system; fish disease diagnostic process; trained neural network; Biological neural networks; Diseases; Expert systems; Marine animals; Neurons; Training; diagnosis; expert system; fish disease; neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Operations and Logistics, and Informatics (SOLI), 2013 IEEE International Conference on
Conference_Location
Dongguan
Print_ISBN
978-1-4799-0529-4
Type
conf
DOI
10.1109/SOLI.2013.6611483
Filename
6611483
Link To Document