基于BP神经网络的畜禽疾病诊断专家系统的设计与实现  

Design and Implementation of Animal Disease Diagnosis Expert System Based on BP Neural Network

作　　者：钟昌乐[1] 钟勇[1] 李宁 

机构地区：[1]佛山科学技术学院信息与教育技术中心,佛山528000 [2]佛山市泰达安全生产事务有限公司,佛山528000

出　　处：《现代计算机》2010年第4期23-26,共4页Modern Computer

基　　金：国家星火计划项目(No2008GA780030);广东省粤港关键领域重点突破资助项目(No2006A25007002)

摘　　要：针对传统诊断专家系统存在的问题,结合国内外研究现状,采用BP神经网络和Hibernate+GWT+Spring技术设计实现畜禽疾病诊断专家系统,实现畜禽的疾病诊断和防治功能。该系统将BP神经网络应用于畜禽疾病诊断的知识获取与推理中,利用神经网络建立疾病症状与疾病类型之间的非线性关系,实现畜禽疾病的智能诊断模型,并将鸭、猪、猫、鸡等畜禽的疾病诊断与防治进行集成,指导养殖户进行养殖活动。经实践验证和专家评测,具有一定的现实意义和推广价值。Aiming at the existing problems of traditional diagnosis, unifies the present research situation of domestic and foreign, uses BP neural network and Hibernate＋GWT＋Spring technologies, establishes an animal disease diagnosis expert system, and achieves the functions of disease diagnose and prevention. Makes use of neural networks to build the nonlinearity relation between the disease symptom and the disease type, realizes an intelligence diagnosing of animal disease model, integrates the diagnosis and prevention of animal diesese including duck, pig, cat, chick and other livestock, instructs the user to carry on the cultivation activity. The practice confirmation and expert evaluation shows that the system has the very vital practical significance and the promoted value.

关 键 词：专家系统 SPRING GWT BP神经网络 畜禽疾病 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]