In this paper we develop a Hierarchical Self-Organized Network that simultaneously evolves
the structure and parameter of the Fuzzy rule-base from input-output data. Error-driven …

This thesis investigates methods to improve the performance of hierarchical classification. In
terms of this thesis hierarchical classification is a form of supervised learning, where the …

In this paper, we present a Modified Robust Particle Swarm Optimization based learning
technique for automatic extraction of fuzzy rules and subsequently for updating the …

The fuzzy if-then rule extraction invariably assumes a preassigned structure instead of an
optimal one. The paper presents the development of a hierarchical self organized radial …