基于人工智能的自然长寿人群生命信息系统建模  

Natural Longevity People Bio-informatics System Modeling Based on Artificial Intelligence

作　　者：孙上上[1] 张晓晖 张明江 闫学勤[1] 

机构地区：[1]新疆大学电气工程学院,新疆乌鲁木齐830008 [2]美国圣乔德公司 [3]新疆邮电设计院,新疆乌鲁木齐830006

出　　处：《信息与控制》2006年第4期493-497,共5页Information and Control

基　　金：国家自然科学基金资助项目(60261001)

摘　　要：以中国新疆和田地区维吾尔自然长寿人群为例,探索一种基于人工智能(artific ial intelligence,AI)的生命信息系统新的建模方法.在建模过程中,由于引入人工智能和数据融合技术,能够高效地提取隐藏于复杂数据中对生命起关键作用的因素,因此成功地建立了一个既非语言表达也非数学公式描述的隐式的自然长寿人群的人工智能模型.此人工智能模型不但更接近实际,而且具有判别、预见等超前功能.该模型可修改、可移植.Using the natural longevity Uygur people from Hetian area in China＇s Xinjiang Uygur Autonomous Region as examples, the research explores a new methodology of system modeling on bio-informatics system based on artificial intelligence （AI）. Since artificial intelligence and data fusion techniques are introduced into the modeling process, the system is able to efficiently extract hidden information from large amount of uncoordinated individual biomedical data that is crucial to human longevity. We successfully establish an implicit non-verbal, non-mathematical AI natural longevity model, which not only behaves close to natural thinking, but also has such leading features as distinguishing and forecasting. This model can also be modified and transplanted.

关 键 词：人工智能 系统建模 数据融合 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] Q811.4[自动化与计算机技术—控制科学与工程]