橡胶回收工业是一个运输较为敏感的行业，对供应网络，手段以及输入费用都有较高要求。
The reclaim rubber industry is freight sensitive commodity, higher demand means wider network of supply sources and higher input costs.
运用神经网络方法，建立了预测橡胶老化性能的计算模型。
The calculation model for predicting rubber aging properties was derived by means of neural network method.
综述了橡胶硫黄硫化网络结构的研究进展，介绍了近年来用于研究网络结构的理论方法和计算方法。
Progress of structural simulation of sulfur vulcanized rubber network is reviewed. It introduces the latest development, theoretical methods and arithmetic methods on network structure studies.
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