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通过均匀设计的方法探索合成高固含量低相对分子质量的聚丙烯酰胺的合成工艺,并利用人工神经网络对实验结果进行非线性拟合,通过筛选优化得到高浓度低相对分子质量聚丙烯酰胺的合成工艺条件.结果表明:通过均匀设计与人工神经网络结合,是一种很好地实验设计和优化实验条件的方法.
Through the uniform design method to explore the synthetic high solid content of low molecular weight polyacrylamide synthesis process, and the use of artificial neural network experimental results of non-linear fit, by screening and optimization of high concentration of low molecular weight polyacrylamide The results show that combining uniform design with artificial neural network is a good way to experimentally design and optimize experimental conditions.