CAJ | 학술논문

设计了一种基于人工神经网络的葡萄病害诊断专家系统.以常见的18种主要的葡萄病害为研究对象,将专家知识转换为诊断规则,并作为学习样本输入神经网络进行训练,形成人工神经网络推理机.同时,采用知识库、规则推理和人工神经网络推理相结合的系统结构来优化专家系统,在提高专家系统自学能力的同时也提高了系统的响应速度.采用C#、Matlab和.NET技术混合编程实现专家系统,实验结果表明该系统有较高的诊断准确率并能稳定运行.该系统在Web上运行,更有利于系统的推广应用.
설계료일충기우인공신경망락적포도병해진단전가계통.이상견적18충주요적포도병해위연구대상,장전가지식전환위진단규칙,병작위학습양본수입신경망락진행훈련,형성인공신경망락추리궤.동시,채용지식고、규칙추리화인공신경망락추리상결합적계통결구래우화전가계통,재제고전가계통자학능력적동시야제고료계통적향응속도.채용C#、Matlab화.NET기술혼합편정실현전가계통,실험결과표명해계통유교고적진단준학솔병능은정운행.해계통재Web상운행,경유리우계통적추엄응용.
This paper designs a kind of grape diseases diagnosis expert system based on artificial neural network.Eighteen main kinds of grape diseases as research objects are taken.The expert knowledge of them is converted into diagnosis rules which would be imported to artificial neural network for training,and formed into inference engine.Additionally,the expert system consists of knowledge database,roles inference and artificial neural network.It improves the self-learning capability and system real-time a-bility of expert system.The system is implemented by C# language,Matlab and .NET programming technology.The experiment re-suits show that the system has higher diagnostic accuracy than traditional expert system.Moreover,the system can be accessed through web browser which will be good for popularization of it.