A new prediction based on neural network theory analysis air filtration efficiency of the melt blowing nonwovens

In this work, the three layers of artificial neural network model is established for predicting the air filtration efficiency of melt blowing from the processing parameters. The radial basis neural network, which has good approximation capability and fast convergence rate, is employed in this paper. The results show that the artificial neural network model produces more accurate and stable predictions and has strongly capability of self-adaptive recognition, which shows that the artificial neural network model is really an effective and viable modeling method.