基于计算智能的包装件非线性特性识别研究进展

将人工神经网络方法，模糊自适应控制技术与进化计算应用于包装件缓冲垫层非线性特性的识别问题，可以给出一种为评价、论证与设计缓冲包装提供理论依据的新途径，概述了有关该问题的若干进展情况，讨论了存在的问题并指出了有关的研究发展方向。

Research Advances in Identification of Nonlinear Characteristics of Packaging Based on Computational Intelligence

Cushioning packaging is the most important subject in theoretical studies and real world applications of packaging dynamics. One of the fundamental steps in the design of cushioning packaging is to choose appropriate cushioning liner materials so as to control the peak value of acceleration transfered to the product and avoid the damage of the product resulting from the excessive internal stress owing to a large inertia force. It is necessary to determine the nonlinear behaviours of cushioning liners for designing reasonably packaging items and improving the cushioning effect of the packaging of products. It gives a new way of providing theoretical basis for judging, demonstrating and designing cushioning packaging that the artificial neural network methods, fuzzy adaptive control technique and evolutionary computation are used to deal with the identification problems of cushioning packaging. This paper outlines several advances in the identification of nonlinear characteristics of packaging using computational intelligence and discusses the existent problems and the relevant further efforts.