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。
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。
应用推荐