Cushion Properties modeling of honeycombed paperboard and parameters optimum based on experimental study

摘要

A model of artificial neural networks of honeycombed paperboard static cushion properties was set up in this paper. The training arithmetic for the networks was also modified. The calculation results show that model of artificial neural networks of honeycombed paperboard simulate actual honeycombed paperboard cushion properties very well. The training errors were controlled fewer than 5%, so that the model could be used in engineering.