Article(id=1242118357718205375, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242118341532386177, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1219334400000, receivedDateStr=2008-08-22, revisedDate=-2209017600000, revisedDateStr=1900-01-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1176134400000, onlineDateStr=2007-04-10, pubDate=1176134400000, pubDateStr=2007-04-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1176134400000, onlineIssueDateStr=2007-04-10, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774073693920, creator=sys-migrate, updateTime=1774073693920, updator=sys-migrate, issue=Issue{id=1242118341532386177, tenantId=1146029695717560320, journalId=1146031591421210625, year='2007', volume='25', issue='0707', pageStart='1', pageEnd='78', issueExtLink='null', onlineDate='null', pubDate='1176134400000', pubDateStr='2007-04-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774073690062, creator='sys-migrate', updateTime=1774073690062, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=13, endPage=17, ext={EN=ArticleExt(id=1242118360247370699, articleId=1242118357718205375, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=A Method of Dynamic Knowledge Representation and Reasoning Based on Fuzzy Petri Nets, columnId=1242118356967428349, journalTitle=Science & Technology Review, columnName=网络在安全研究专题, runingTitle=null, highlight=null, articleAbstract=A method of dynamic knowledge representation and reasoning based on Fuzzy Petri Nets is proposed for problems of knowledge of Fuzzy characteristics, where frequent updating of knowledge is required in an expert system. Using the data obtained from the actual environment, the parameters of the knowledge model such as weights, threshold and reliability can be adjusted by training, so the knowledge can be updated dynamically. Some useful factors of knowledge representation based on production rules and Neural Networks are integrated into the knowledge model in a clear way, with well defined meanings for parameters, and with a learning and parallel reasoning ability. The result of simulation shows that the precision of the knowledge model is improved after training., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=U1zqAucnEw5TPDWO1a+Z9Q==, pdfFileSize=537940, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242118359748251914, articleId=1242118357718205375, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于模糊Petri网的动态知识表示与推理方法, columnId=1242118356472500474, journalTitle=科技导报, columnName=网络在安全研究专题, runingTitle=null, highlight=null, articleAbstract=针对专家系统知识库中的知识具有模糊特性以及知识库需要频繁更新的特点，设计了一种基于模糊Petri网的动态知识表示与推理方法。该方法利用实际环境中的数据，通过学习来调整知识模型的权值、阈值和确信度等参数，从而实现知识库的动态实时更新。此方法同时结合了产生式知识表示方式和神经网络知识表示方式的优点：知识模型结构清晰，参数意义明确；具有学习和并行推理能力。仿真实验结果表明，经过训练调整后的知识模型具有更高的准确度。, authors=危胜军，胡昌振，孙明谦, authorsList=危胜军;胡昌振;孙明谦, authorCompany=北京理工大学计算机网络攻防对抗技术实验室 北京, correspAuthors=null, authorNote=null, correspAuthorsNote=危胜军, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=q5vPBd713P6cKbArkucTGw==, pdfFileSize=537940, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=null, keywords=[Keyword(id=1242118359341404418, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242118357718205375, language=CN, orderNo=1, keyword=知识表示), Keyword(id=1242118359433679108, 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