{"title":"基于自学习技术的电网通信运维知识库的应用","authors":"Huang Youjun, Wu Haiyang, Yu Ran, Li Chao","doi":"10.1109/IICSPI.2018.8690519","DOIUrl":null,"url":null,"abstract":"With the continuous development of information technology, applying automatic learning and self-learning methods such as machine learning and neural networks to the knowledge acquisition process of the knowledge base, becomes the trend and direction of the current knowledge base development. This paper describes the development of the self-learning knowledge base and technical methods, and practices the whole process of the database construction, neural network construction, neural network training process, experimental application of self-learning knowledge base, achieves the desired goal. It lays the foundation for the construction and practice of the self learning knowledge base in the broader knowledge field.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":"40 1","pages":"396-402"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Power Grid Communication Operation and Maintenance Knowledge Base Based on Self-learning Technology\",\"authors\":\"Huang Youjun, Wu Haiyang, Yu Ran, Li Chao\",\"doi\":\"10.1109/IICSPI.2018.8690519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the continuous development of information technology, applying automatic learning and self-learning methods such as machine learning and neural networks to the knowledge acquisition process of the knowledge base, becomes the trend and direction of the current knowledge base development. This paper describes the development of the self-learning knowledge base and technical methods, and practices the whole process of the database construction, neural network construction, neural network training process, experimental application of self-learning knowledge base, achieves the desired goal. It lays the foundation for the construction and practice of the self learning knowledge base in the broader knowledge field.\",\"PeriodicalId\":6673,\"journal\":{\"name\":\"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)\",\"volume\":\"40 1\",\"pages\":\"396-402\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IICSPI.2018.8690519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICSPI.2018.8690519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Power Grid Communication Operation and Maintenance Knowledge Base Based on Self-learning Technology
With the continuous development of information technology, applying automatic learning and self-learning methods such as machine learning and neural networks to the knowledge acquisition process of the knowledge base, becomes the trend and direction of the current knowledge base development. This paper describes the development of the self-learning knowledge base and technical methods, and practices the whole process of the database construction, neural network construction, neural network training process, experimental application of self-learning knowledge base, achieves the desired goal. It lays the foundation for the construction and practice of the self learning knowledge base in the broader knowledge field.