An expert system for prawn disease diagnose and prevention based
on back propagation artificial neural network
YE Chan1, DENG Chang-hui1, CAO Xiang-nan2, LIU Jun3, JIANG Yu-sheng4
1.College of Information Engineering, Dalian Ocean University, Dalian 116023, China; 2.College of Mechanical and Power Engineering, Dalian Ocean University, Dalian 116023, China; 3.College of Marine Science and Environment, Dalian Ocean University, Dalian 116023, China; 4.College of Fisheries and Life Science, Dalian Ocean University, Dalian 116023, China
Abstract: An expert system for shrimp disease diagnose and prevention is established and practiced to solve shortage of technical persons and low disease diagnostic accuracy based on back propagation artificial neural network, combined with the application of neural network expert system in the field of disease diagnosis in shrimp industry suffered from diseases. The system as a subsystem of crustacean aquaculture expert system is designed by ASP, NET technology and B/S three layers architecture ideas, and effectively solves problems, such as difficulties of acquiring knowledge, poor ability of self-learning and reasoning for traditional expert system. The system is characterized by user-friendly, simple, practical and easy to maintain, and has the functions of the shrimp culture consulting, and disease diagnosis and prevention, with certain practical significance and promotional value.
叶婵, 邓长辉, 曹向南, 刘骏, 姜玉声. 基于BP神经网络的对虾病害防治专家系统[J]. 大连海洋大学学报, 2015, 30(3): 319-323.
YE Chan, DENG Chang-hui, CAO Xiang-nan, LIU Jun, JIANG Yu-sheng. An expert system for prawn disease diagnose and prevention based
on back propagation artificial neural network. Journal of Dalian Ocean University, 2015, 30(3): 319-323.
2015, Vol. 30 
