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The application of data processing based on variable precision rough set neural network in complex system

机译:基于变精度粗糙集神经网络的数据处理在复杂系统中的应用。

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Data processing in the complex system generally the data is complicated and the data processing outcome is strictly. In order to deal with these problems researched the algorithm of variable precision rough set integrating neural network. It has powerful functions in data mining, data reducing and data classifying aspects. It is proofed by an example that this algorithm can process large and imprecise data in the complex system stably and rapidly and can mine the concealment knowledge in the large uncertainty data.
机译:复杂系统中的数据处理一般来说,数据是复杂的,数据处理的结果是严格的。为了解决这些问题,研究了集成神经网络的变精度粗糙集算法。它在数据挖掘,数据约简和数据分类方面具有强大的功能。通过实例证明,该算法可以稳定,快速地处理复杂系统中的大数据和不精确数据,并可以挖掘大不确定性数据中的隐蔽知识。

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