For solving the difficulty in the control of molecular weight distribution (MWD) of polymer product, MWD via neural network without any transcendental information is modelled.

为了解决聚合产品分子量分布控制的难题，将神经网络引入对其进行了无需任何系统内部先验知识的黑箱建模。

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Polyethylene terephthalate (PET) films were polymerized in solid phase, the molecular weight, molecular weight distribution (MWD) and cyclic oligomer content of the products were determined by GPC.

聚对苯二甲酸乙二酯(PET)薄膜经固相缩聚反应后，用凝胶色谱法测定产物的分子量、分子量分布和环状齐聚物含量。

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