Incremental learning of collaborative classifier agents with new class acquisition: An incremental genetic algorithm approach

Abstract

A number of soft computing approaches such as neural networks, evolutionary algorithms, and fuzzy logic have been widely used for classifier agents to adaptively evolve solutions on classification problems. However, most work in the literature focuses on the learning ability of the individual classifier agent. This article explores incremental… (More)
DOI: 10.1002/int.10145

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