Fuzzy Learning and Applications

1 Evolutionary Fuzzy Learning

Marco Russo

M.Russo is with INFN Section of Catania - ITALY and with the Dept. of Physics, Univ. of Messina, Contrada Papardo, Salita Sperone 31, 98166 ME - ITALY. E-mails: [e-mail], [e-mail], [e-mail]

• Abstract
• 1.1 Introduction
• 1.2 Fuzzy knowledge representation
• 1.3 GEFREX
• General description • The evolution algorithm • Genetic coding • Crossover • The error • Output singletons • Hill climbing operator • The fitness function • GEFREX utilization • Comparisons • Computational complexity evaluation • A learning example with compressed learning patterns
• 1.4 PARGEFREX
• A brief review of GEFREX • The commodity supercomputer used • PARGEFREX description • Performance evaluation ...