摘要
在对智能诊断系统和多Agent技术研究的基础上,构建了基于多Agent的农产品加工用智能诊断模型。并对故障分类中的软故障样本采用基于神经网络理论进行的诊断决策机制进行了训练,实验训练结果表明该诊断决策机制能够对种蛋识别设备进行有效的故障诊断。
Based on the research of intelligent diagnostic systems and Multi-Agent technology,intelligent diagnosis model of the agricultural products processing equipment was buih on the base of multi-agent. The fault was divided into two types： hardware fault and software fault. And the software fault sample was trained using the diagnosis decision-making based on the theory of neural networks. The experimental results of the training showed that the diagnosis decision-making was effective.
出处
《黑龙江八一农垦大学学报》
2013年第3期78-81,共4页
journal of heilongjiang bayi agricultural university
基金
黑江省农垦总局开发项目(HNK12KF-20)
关键词
智能诊断
多AGENT
诊断决策
intelligent diagnosis
multi-agent
diagnosis decision-making
