Multiply descent cost competitive neural networks with cooperation and categorization

Abstract

Generalized competitive learning algorithms are described. These algorithms comprise competition handicaps, cooperation and multiply descent cost property. Applications are made on single processing and combinatorial optimizations. Parallel computation of the algorithms presented is discussed.<>