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dc.contributor.author罗键
dc.date.accessioned2016-05-17T02:45:54Z
dc.date.available2016-05-17T02:45:54Z
dc.date.issued1997
dc.identifier.citation系统工程理论与实践,1997,(8):126-131
dc.identifier.issn1000-6788
dc.identifier.otherXTLL708.021
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/105996
dc.description.abstract介绍了一种用于矿井方案优化设计预处理的混合专家系统——基于神经网络与规则推理的专家系统;阐述了该混合专家系统的基本结构及实现过程,提出输出向量的模糊分类;此外,简要介绍了该系统的实际应用。
dc.description.abstractMany disciplinary Fields Face the same challenge as general systems measuring-how to measure the shape and state of irregular systems distributions.Although there are many approaches to general systems measuring in geometry (including Fractals), systems science and other disciplinary Fields, but these approaches always lead to a loss of inFormation of systems as a whole, which is closely related to complexity and irreliability of general systems measuring.In this paper, systems geometry as a new approach is proposed From an integration of geometric and systems views, and to measure the shape, discreteness and balance of irregular systems distributions is discussed.
dc.language.isozh_CN
dc.subjectBP网络
dc.subject专家系统
dc.subject模糊分类
dc.subject基于实例
dc.subject优化设计预处理
dc.subjectsystem
dc.subjectsystems measuring
dc.subjectsystems geometry
dc.subjectspatial distribution measuring
dc.title矿井优化设计预处理的混合专家系统
dc.title.alternativeFrom Complexity to Simplicity:Systems Geometry as a New Approach to General Systems Measuring
dc.typeArticle


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