CAJ | 학술논문

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。
침대중국대하양식산업조수병해중창적정황，위해결기층상관기술인원단결이급병해진단준학솔저적문제，결합신경망락전가계통재질병진단영역적응용，채용ASP. NET기술화B/S삼층가구사상，설계병건립료기우BP신경망락적대하병해진단여방치전가계통。해계통시하해양식전가계통중적일개자계통，유효지해결료전통전가계통획취지식곤난、자학습능력차화추리능력약등문제，실현료대하양식적자순、병해진단여방치등공능，계면우호，조작간단실용，유호방편，구유일정적현실의의화추엄개치。
An expert system for shrimp disease diagnose and prevention is established and practiced to solve short-age 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 ac-quiring knowledge, poor ability of self-learning and reasoning for traditional expert system. The system is charac-terized by user-friendly, simple, practical and easy to maintain, and has the functions of the shrimp culture con-sulting, and disease diagnosis and prevention, with certain practical significance and promotional value.