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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. shu

Prediction of Molecular Mass of Polyacrylamide with Process Neural Networks

1.
a Department of Petrochemical Engineering, Daqing Petroleum Institute, Anda 151400;
2.
b Zhejiang Normal University, Jinhua

Corresponding author: ZHAO Xiao-Fei,
Received Date: 5 November 2001
Available Online: 19 March 2002

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.
- polyacrylamide,
- molecular mass,
- prediction,
- procedure neural networks
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