Detection and normalization of pattern position by neural network

The authors propose a method of detecting and normalizing pattern position by the backpropagation network (BN) with three layers. First, they clarify the troublesome situation of restoring the shifted position by BPN experimentally, using a one-dimensional signal. Next, it is shown that by cascading two networks, one can detect and normalize the signal position and demonstrate its usefulness. This method is applied to a two-dimensional image, and its validity is confirmed