• 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