Off-line handwritten digit recognition based on improved BP artificial neural network
Chengde Zhang, Xiangnian Huang · 2008
This paper improved the adaptive factor of gradient to improve the transfer function on the base of the means of momentum, aimed at the training difficult to escape the flat area of error. This method had an application on off-line handwritten recognition. The results showed: this method could not only raise precision of BP artificial neural network, but also improve the convergent speed of it.