引用本文:
赵晓非, 祝春兰, 刘立新, 匡洞庭, 甄活良. 过程神经网络法推测聚丙烯酰胺分子质量[J]. 应用化学,
2002, 19(7): 637-640.
Citation: ZHAO Xiao-Fei, ZHU Chun-Lan, LIU Li-Xin, KUANG Dong-Ting, ZHEN Huo-Liang. Prediction of Molecular Mass of Polyacrylamide with Process Neural Networks[J]. Chinese Journal of Applied Chemistry, 2002, 19(7): 637-640.
Citation: ZHAO Xiao-Fei, ZHU Chun-Lan, LIU Li-Xin, KUANG Dong-Ting, ZHEN Huo-Liang. Prediction of Molecular Mass of Polyacrylamide with Process Neural Networks[J]. Chinese Journal of Applied Chemistry, 2002, 19(7): 637-640.
过程神经网络法推测聚丙烯酰胺分子质量
English
Prediction of Molecular Mass of Polyacrylamide with Process Neural Networks
Abstract:
A process neural network of learning and memory abilities, has been proposed in order to examine the relationship between the temperature-time reaction curve and the molecuar mass of polyacrylamide (PAA). The relative error of the molecular mass of PAA predicted by the process neural network was in 2% lower than that measured by chemical method, implying that the method proposed is simple and effective for a molecular mass determination of PAA.
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Key words:
- polyacrylamide
- / molecular mass
- / prediction
- / procedure neural networks
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