LI Guo-xia, LIANG Xian-hua, LI Rong-wu, ZHAO Qing-yun, SUN Xin-min, ZHAO Wen-jun, ZHAO Wei-juan, SUN Hong-wei, GUO Min, XIE Jian-zhong, GAO Zheng-yao, FENG Song-lin, CUI Peng-fei, YANG Da-wei. Distinguish of Famous Jun Porcelain in Ancient and Present Age by INAA and BP Neural Network[J]. Atomic Energy Science and Technology, 2010, 44(3): 372-375. DOI: 10.7538/yzk.2010.44.03.0372
Citation: LI Guo-xia, LIANG Xian-hua, LI Rong-wu, ZHAO Qing-yun, SUN Xin-min, ZHAO Wen-jun, ZHAO Wei-juan, SUN Hong-wei, GUO Min, XIE Jian-zhong, GAO Zheng-yao, FENG Song-lin, CUI Peng-fei, YANG Da-wei. Distinguish of Famous Jun Porcelain in Ancient and Present Age by INAA and BP Neural Network[J]. Atomic Energy Science and Technology, 2010, 44(3): 372-375. DOI: 10.7538/yzk.2010.44.03.0372

Distinguish of Famous Jun Porcelain in Ancient and Present Age by INAA and BP Neural Network

  • 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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