摘要
运用面向对象技术与产生式规则知识表达方式,将电网中的运行经验按工作性质分类,建立一个拥有主动学习能力的电网运行经验知识库。运用基于权重的贝叶斯分类模型来对统计数据进行分类,从而识别语义,以此达到电网运行经验知识与用户的反馈交流的目的。利用知识库强大的学习能力,使电网运行经验知识库在与用户反馈交流中优化自身知识体系结构,有地区针对性地进一步扩充与完善运行经验库。该方法可以有效地为工作人员提供技术支持,提高工作人员的业务素质,加强电网的安全稳定运行。
By using of object-oriented technology and the knowledge representation of the production rule, this pa- per classifies the operation experience of grid according to the nature and builds an operation experience of grid with active learning capability. Through application of Bayesian classifier model that based on weight, it classifies the statistical data and identifies the semantic, thus it realizes the exchange of the operation experience of grid and the feedback of the user. Using the powerful learning ability of knowledge base, it can make the operation experience of the grid optimize the knowledge system structure of itself in the process of exchanging the operation experience and the feedback of the user, and improve and expand the operation experience of grid further which is region targeted. This method can provide technical support and improve the quality of the stuff, so it can strengthen the safety sta- bility operation of the grid.
出处
《电力科学与工程》
2014年第4期38-42,共5页
Electric Power Science and Engineering
关键词
知识库
主动式学习
电网运行经验库
knowledge base
active learning
operation experience of grid
