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 techniques and evolutionary computations 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. [References: 13]
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