On the potential function method and the increment error correction rule in pattern classification

Based on the basic property that the solution weight vector of the linear pattern classifier can be expressed as a linear function of the training patterns, it is shown that the increment error correction algorithm is a special case of the potential function method. For linearly separable training patterns, a form of potential function which appears to be useful is also proposed.