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Rough set of optimized probabilistic neural network in identification of blue and white ceramic from Jingdezhen

机译:景德镇鉴定蓝白陶瓷识别粗糙集的优化概率神经网络

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The chemical composition is usually acquired by various scientific analyses in blue and white ceramics researches from Jingdezhen,then they are classified and catalogued by the calculation based on some proper mathematical model,finally the discrimination functions can be got.This paper introduces the rough set theory and probabilistic neural network for some of the basic concepts, and give the optimal probability rough set neural network method to establish the Jingdezhen blue and white porcelain dating model the basic steps and the pottery chemical composition data processing method, through the application examples, it shows that the methods of Jingdezhen blue and white dating of ceramics research results to achieve the expected purpose.
机译:化学成分通常由景德镇的蓝白陶瓷研究中的各种科学分析获得,然后通过基于一些适当的数学模型进行分类和编目,最后可以得到辨别功能。本文介绍了粗糙集理论和概率神经网络的一些基本概念,并给出了最优概率粗糙集神经网络方法,建立了景德镇蓝白瓷器约会模型的基本步骤和陶瓷化学成分数据处理方法,通过应用例子,它显示那种景德镇蓝白色约会的陶瓷研究结果达到预期目的。

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