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

机译:景德镇青花瓷识别中的优化概率神经网络粗集

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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:通常通过景德镇青花瓷研究中的各种科学分析来获取化学成分,然后根据一些合适的数学模型通过计算对它们进行分类和分类,最后可以得到鉴别函数。本文介绍了粗糙集理论和概率神经网络的一些基本概念,并给出最佳概率粗糙集神经网络方法,建立景德镇青花瓷测年模型的基本步骤和陶化学成分数据的处理方法,通过应用实例,表明认为景德镇陶瓷青花瓷测年方法的研究结果达到了预期目的。

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