Training of a ML neural network for classification via recursive reduction of the class separation

Abstract

A method for recursive training of an ML network for classification is proposed. It searches for the non-linear discriminant functions corresponding to several small local minima of the objective function. The novelty of the proposed method lies in the transformation of the training data into new data with a deflated minimum of the objective function… (More)
DOI: 10.1109/ICPR.1998.711177

Topics

  • Presentations referencing similar topics