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 :
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