基于BP神经网络的对虾病害防治专家系统  

An expert system for prawn disease diagnose and prevention based on back propagation artificial neural network

作　　者：叶婵[1] 邓长辉[1] 曹向南[2] 刘骏[3] 姜玉声[4] 

机构地区：[1]大连海洋大学信息工程学院,辽宁大连116023 [2]大连海洋大学机械与动力工程学院,辽宁大连116023 [3]大连海洋大学海洋科技与环境学院,辽宁大连116023 [4]大连海洋大学水产与生命学院,辽宁大连116023

出　　处：《大连海洋大学学报》2015年第3期319-323,共5页Journal of Dalian Ocean University

基　　金：辽宁省科学研究计划项目(2011203005);辽宁省优秀人才支持计划项目(LR2012024);国家"星火计划"项目(2012GA651004)

摘　　要：针对中国对虾养殖产业遭受病害重创的情况,为解决基层相关技术人员短缺以及病害诊断准确率低的问题,结合神经网络专家系统在疾病诊断领域的应用,采用ASP.NET技术和B/S三层架构思想,设计并建立了基于BP神经网络的对虾病害诊断与防治专家系统。该系统是虾蟹养殖专家系统中的一个子系统,有效地解决了传统专家系统获取知识困难、自学习能力差和推理能力弱等问题,实现了对虾养殖的咨询、病害诊断与防治等功能,界面友好,操作简单实用,维护方便,具有一定的现实意义和推广价值。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.

关 键 词：专家系统 BP神经网络 对虾病害诊断与防治 ASP.NET技术 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]