期刊文献+

数据库和人工智能在质谱检索中的应用 被引量:4

Application of Database and Artificial Intelligence to Spectrum Resolution
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摘要 本系统把人工智能和质谱解析过程有机地集成起来 ,建立质谱数据库 ,利用多种化学计量学算法对复杂数据进行解析 ,并采用新的质谱匹配算法 ,有效地降低解析过程的复杂性和提高了解决实际问题的能力 . The artificial intelligence and the resolution process of mass spectrum are organically integrated in this system,as a result,the complexity of the resolution process is greatly decreased.At the same time,the ability of resolving practical problem is increased to a great degree by taking the advantage of many chemometrics resolution algorithm,new match and index algorithm as well as mass spectrum database.
出处 《湖南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2001年第1期37-42,共6页 Journal of Hunan University:Natural Sciences
基金 国家自然科学基金!资助项目 ( 2 97351 50 )
关键词 人工智能 质谱解析 质谱数据库 化学计量学算法 质谱分析 artificial intelligence mass spectrum resolution mass spectrum database chemometrics algorithm
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参考文献5

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共引文献19

同被引文献45

  • 1律祥俊,林少凡,张金碚,张法义.一种有机质谱谱图的库检索新算法[J].高等学校化学学报,1994,15(5):678-680. 被引量:8
  • 2魏万之,胡妍波,夏建军,毛友安,钟科军,卢红兵,蒋腊梅,丁多.气相色谱-质谱联用法分析卷烟烟气中15种多环芳烃[J].湖南大学学报(自然科学版),2005,32(2):76-80. 被引量:19
  • 3王天舒.H_3O^+,NO^+和O_2^(+·)离子同九种烷氧基醇化合物反应的研究(英文)[J].光谱学与光谱分析,2006,26(4):747-752. 被引量:2
  • 4金顺平,李建权,韩海燕,王鸿梅,储焰南,周士康.质子转移反应质谱在线检测痕量挥发性有机物[J].化学进展,2007,19(6):996-1006. 被引量:20
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