| 核壳型PVAc/PBA乳胶粒热力学平衡状态 |
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| 引用本文： | 赵晓非,祝春兰,刘立新,匡洞庭,甄活良.核壳型PVAc/PBA乳胶粒热力学平衡状态[J].应用化学,2002,19(7):0-0. |
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| 作者姓名： | 赵晓非 祝春兰 刘立新 匡洞庭 甄活良 |
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| 作者单位： | 1. 大庆石油学院石油化工系,安达,151400
2. 浙江师范大学,金华 |
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| 摘 要： | 乙酸乙烯酯;形态;核壳型PVAc/PBA乳胶粒热力学平衡状态;核壳结构;丙烯酸丁酯;乳液聚合;
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| 关 键 词： | 乙酸乙烯酯 形态 核壳型PVAc/PBA乳胶粒热力学平衡状态 核壳结构 丙烯酸丁酯 乳液聚合 |
| 文章编号： | 1000-0518(2002)07-0637-04 |
| 收稿时间： | 2009-06-29 |
| 修稿时间： | 2001年11月5日 |
Prediction of Molecular Mass of Polyacrylamide with Process Neural Networks |
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| ZHAO Xiao Fei a ,ZHU Chun Lan b,LIU Li Xin a,KUANG Dong Ting a.Prediction of Molecular Mass of Polyacrylamide with Process Neural Networks[J].Chinese Journal of Applied Chemistry,2002,19(7):0-0. |
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| Authors: | ZHAO Xiao Fei a ZHU Chun Lan b LIU Li Xin a KUANG Dong Ting a |
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| Institution: | ZHAO Xiao Fei a *,ZHU Chun Lan b,LIU Li Xin a,KUANG Dong Ting a |
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| 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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| Keywords: | polyacrylamide molecular mass prediction procedure neural networks |
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