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首页> 外文期刊>Minerals Engineering >COMPUTER MODELLING OF MINERAL PROCESSING EQUIPMENT USING FUZZY MATHEMATICS
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COMPUTER MODELLING OF MINERAL PROCESSING EQUIPMENT USING FUZZY MATHEMATICS

机译:基于模糊数学的矿山加工设备计算机建模

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摘要

Fuzzy mathematics is used to produce computer models directly from engineering data acquired from mineral processing systems. A fuzzy model is developed that uses linguistic terms to describe the relationships between the variables in select mineral processing systems. Such fuzzy linguistic models rely exclusively on data collected from the systems being modelled; they do not presuppose an understanding of the physics of the system. The lack of requirement for fully understanding the physics of the system being modelled is important in the mineral processing industry where these relationships are complex and difficult to acquire. The linguistic computer models that are developed are tuned with a genetic algorithm which is employed to simultaneously select linguistic rules and tune fuzzy membership functions. The result is an extremely flexible approach to modelling that is applicable in a variety of mineral processing systems. The effectiveness of this approach to modelling is demonstrated using data from two pieces of mineral processing equipment: (1) a grinding circuit and (2) a hydrocyclone.
机译:模糊数学用于直接根据从矿物加工系统获得的工程数据来生成计算机模型。建立了一个模糊模型,该模型使用语言术语来描述所选矿物加工系统中变量之间的关系。这种模糊语言模型仅依赖于从正在建模的系统收集的数据。他们不以对系统物理的理解为前提。在矿物加工行业中,这些关系非常复杂且难以获得,因此缺乏充分了解要建模的系统的物理特性的要求很重要。使用遗传算法对开发的语言计算机模型进行调整,该遗传算法用于同时选择语言规则和调整模糊隶属函数。结果是一种非常灵活的建模方法,适用于各种矿物加工系统。使用两个矿物处理设备的数据证明了这种建模方法的有效性:(1)研磨回路和(2)水力旋流器。

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