基于分布式网络体系结构的鱼病诊断智能系统的实现

结合鱼病诊断知识和鱼病诊断专家经验，以人工智能理论为基础，采用B/S/S技术开发基于分布式网络体系结构的鱼病诊断智能系统。将鱼病诊断知识库的设计分为问题识别、知识概念化、知识形式化、知识实现和知识测试等五个阶段，并根据鱼病诊断流程和核心算法设计了鱼病诊断推理机制，最后对鱼病诊断的功能模块设计做了详细介绍。该智能系统的建立将有益于科学诊断和防治鱼病。

Realization of Fish Disease Diagnosis Expert System Based on Distributing Network

Based on researching on fish disease diagnosis knowledge and expert experience, combining with B/S/S network technique, fish disease diagnosis expert system based on distributing network was constructed. In order to obtain effectively fish diagnosis knowledge and establish general, reliable and accurate knowledge database, repository design was divided into five stages, such as problem identify, knowledge conceptualization, knowledge formalization, knowledge realization and knowledge testing. Reasoning was designed according to the process of fish disease diagnosis and corn arithmetic. At last, fish disease diagnosis function module was recommended in detail. Fish disease diagnosis expert system will be beneficial to scientific diagnosis and prevention fish disease.