摘要
介绍了鞍山供电公司的试验管理系统,包括其设计思想、功能框架.建立了两个模型:数据统计模型、诊断预测模型(专家系统与人工神经网络).实践结果证明了这些方法的有效性.在试验管理系统中应用人工智能技术(专家系统、人工神经网络)对于提高设备故障诊断预测分析水平、培训专业技术人员、探讨辅助决策支持的模式具有重要意义.
The Anshan power supply company trial management system is introduced,statistics,expert and artificial neural network models are also built.Practice test results show the effectiveness of these approaches. Applying the artifical intelligence technique(expert system,artificial neural network) in the trial management system for us to enhance the level of diagnosing device faults,training professional,making decision support method will be of significance.
出处
《鞍山科技大学学报》
2004年第4期278-281,共4页
Journal of Anshan University of Science and Technology
