A proposed learning method for pattern recognition with higher order neural networks

摘要

It is known that higher order neural networks is effective for translation, rotation and scale invariant pattern recognition. The pattern recognition is realized by the limits between connection weights. In this paper, we propose the learning method to get the limits between connection weights. This method is effective to generalized pattern recognition problem.