This paper proposes a new optimizing neural network structure and weight distribution method two-step evolutionary method.
文章提出了一种新的优化神经网络结构及权值的方法——两级进化的方法。
We use GPC, NMR and IR to systematically characterize each step of the molecular weight, molecular weight distribution and structure and identify them as the polymer of expected structures.
用GPC、NMR及IR对各步反应产物的分子量、分子量分布及结构进行了系统的表征，分别确认为预期结构的聚合物。
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