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论述了人工神经网络预测聚合物、复合材料的性能及聚合物组成的方法和效果 ,总结了人工神经网络用于高分子材料成型加工的质量控制与条件优化的研究成果 ,概述了人工神经网络在聚合过程的模拟及计算机辅助分子设计等方面的应用研究状况 ,讨论了人工神经网络用于高分子材料的性能预测与优化设计的优缺点 ,指出了人工神经网络在高分子科学领域中应用的发展方向和需要解决的问题。
The methods and effects of artificial neural network in predicting the properties of polymers and composites and polymer compositions are summarized. The research achievements of artificial neural networks for quality control and condition optimization of polymer materials forming process are summarized. The advantages and disadvantages of artificial neural networks Polymerization process simulation and computer aided molecular design and so on. The advantages and disadvantages of artificial neural network (ANN) for predicting and optimizing the performance of polymer materials are discussed. The application of artificial neural networks in polymer science is also pointed out Direction and problems to be solved.