电网企业财务健康诊断知识推理技术  

Knowledge inference techniques for financial health diagnosis of power grid enterprises

作　　者：万齐鸣 王英军[1] 李有华 WAN Qiming;WANG Yingjun;LI Youhua(Beijing China-Power Information Technology Co.,Ltd.,Beijing 100192,China;State Grid Energy Research Institute Co.,Ltd.,Beijing 102209,China)

机构地区：[1]北京中电普华信息技术有限公司,北京100192 [2]国网能源研究院有限公司,北京102209

出　　处：《电信科学》2018年第8期186-192,共7页Telecommunications Science

基　　金：国家公司科技基金资助项目"电网集团公司管理会计关键技术及财务健康状态检测诊断研究"(No.5202011600U9)~~

摘　　要：研究了电网企业财务健康诊断知识推理技术,将专家系统与神经网络相结合,采用专家系统框架,利用神经网络完成部分知识的存储与表示,克服了传统诊断方法的局限性,将领域专家的知识与神经网络的自学习能力有机融合在一起,实现对电网企业财务更健康、更准确的实时状态检测与智能诊断。The knowledge inference techniques for financial health diagnosis of power grid enterprises was studied. Combining experts system with neural network, expert system framework was used, finishing storage and representation of partial knowledge with neural network, thus overcoming the limitations of traditional diagnosis methods, organically integrating experts＇ knowledge in the field with self-learning abilities of neutral network. More accurate real-time status detection and intelligent diagnosis for financial health of power grid enterprise were realized.

关 键 词：财务健康 检测诊断 知识推理 专家系统 神经网络 

分 类 号：TP391.5[自动化与计算机技术—计算机应用技术]