Push-and-pull for piecewise linear machine training

A piecewise linear machine (PLM) is capable of pattern classification. A simple and robust training method for the PLM called push-and-pull training is presented. This method avoids the difficulties encountered by the learning vector quantization (LVQ) methods of T. Kohonen. The machine was capable of finding optimal solution efficiency for problems with either separated or overlapping category regions.<>