首页 | 本学科首页   官方微博 | 高级检索  
     

基于综合信息的汛期库水位实时动态控制方法
引用本文:车超,金博,滕弘飞,屈福政. 基于综合信息的汛期库水位实时动态控制方法[J]. 大连理工大学学报, 2010, 50(4): 603-608
作者姓名:车超  金博  滕弘飞  屈福政
作者单位:大连理工大学,水利工程学院,辽宁,大连,116024;大连理工大学,水利工程学院,辽宁,大连,116024
基金项目:国家自然科学基金资助项目,十一五国家科技支撑计划课题资助项目,水利部重大科技资助项目
摘    要:以提高洪水资源利用率为目标,研究利用实时水雨工情及短期雨洪预报等综合信息的汛期库水位实时动态控制方法,即改进的预蓄预泄法.应用实例表明,在不降低水库上下游防洪标准的前提条件下,可使桓仁水库及梯级库群的发电效益明显增加.该综合信息的汛期库水位实时动态控制方法,对北方水资源短缺地区调节性能较高的大型水库(水电站)汛期实时调度,有较好的借鉴意义.

关 键 词:改进的预蓄预泄法  模糊推理  库水位实时动态控制  综合信息  水库  汛期

Multi-strategy approach to Chinese word sense disambiguation based on sememe relations
CHE Chao,JIN Bo,TENG Hongfei,QU Fuzheng. Multi-strategy approach to Chinese word sense disambiguation based on sememe relations[J]. Journal of Dalian University of Technology, 2010, 50(4): 603-608
Authors:CHE Chao  JIN Bo  TENG Hongfei  QU Fuzheng
Abstract:Word sense disambiguation (WSD) is an important and difficult problem in natural language processing. A multi-strategy approach for WSD is proposed based on sememe relations in HowNet. The approach benefits from part-whole and attribute-host relations, which are the most basic and important sememe relations in HowNet. In addition, value-attribute relation, message structure and semantic relevancy are utilized to do disambiguation as supplement. The experimental results of SENSEVAL-3 Chinese WSD task show that the proposed method performs well in comparison with the official results.
Keywords:HowNet   word sense disambiguation   sememe relation   semantic relevancy
本文献已被 万方数据 等数据库收录!
点击此处可从《大连理工大学学报》浏览原始摘要信息
点击此处可从《大连理工大学学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号