古今名钧瓷鉴别的INAA和BP神经网络研究
고금명균자감별적INAA화BP신경망락연구
Distinguish of Famous Jun Porcelain in Ancient and Present Age by INAA and BP Neural Network
  • 万方数据
    原子能科学技术 원자능과학기술
    ATOMIC ENERGY SCIENCE AND TECHNOLOGY
    2010年 3期 372-375 ,共4页

    李国霞%梁先华%李融武%赵青云%孙新民%赵文军%赵维娟%孙洪巍%郭敏%谢建忠%高正耀%冯松林%崔鹏飞%杨大伟

    리국하%량선화%리융무%조청운%손신민%조문군%조유연%손홍외%곽민%사건충%고정요%풍송림%최붕비%양대위

    古今名钧瓷%仪器中子活化分析%微量元素%BP神经网络%鉴别 古今名鈞瓷%儀器中子活化分析%微量元素%BP神經網絡%鑒彆
    고금명균자%의기중자활화분석%미량원소%BP신경망락%감별
    famous Jun porcelain in ancient and present age%INAA%microelement%BP neural network%distinguish
    为正确鉴别古今名钧瓷,从古钧台窑和现代孔家钧窑、苗家钧窑、星航钧窑选取钧瓷残片样品40个,用仪器中子活化分析(1NAA)测得每个样品胎、釉中25种元素的含量,应用BP神经网络对这些样品的INAA数据进行了训练和预测.预测结果表明,训练好的网络能较好鉴别未知古钧官瓷和现代高档钧瓷的胎、釉样本.
    위정학감별고금명균자,종고균태요화현대공가균요、묘가균요、성항균요선취균자잔편양품40개,용의기중자활화분석(1NAA)측득매개양품태、유중25충원소적함량,응용BP신경망락대저사양품적INAA수거진행료훈련화예측.예측결과표명,훈련호적망락능교호감별미지고균관자화현대고당균자적태、유양본.
    Forty samples of Jun porcelain from an ancient Juntai kiln and 3 modern Jun kilns (Kongjia, Miaojia and Xinghang) were selected and analyzed for 25 elements by INAA. The data were trained and forecasted by BP neural network. The results indicate that the network can distinguish unknown body and glaze samples of the official Jun porcelain and the modern top-grade Jun porcelain after proper training.
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