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利用过程神经网络学习记忆建立了丙烯酰胺聚合反应的升温曲线 (温度随时间变化曲线 )与平均相对分子质量的关系 ,所推测的聚丙烯酰胺平均相对分子质量的误差在 2 %以内 ,表明该方法简单有效 ,可以节省大量的实验工作量 .
The process of neural network learning and memory was used to establish the relationship between the temperature increasing curve and the average relative molecular mass of acrylamide polymerization. The inferred error of the average relative molecular mass of polyacrylamide was within 2% Simple and effective, you can save a lot of experimental work.