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Study of distributed learning as a solution to category proliferation in Fuzzy ARTMAP based neural systems
Emilio Parrado-Hernández1, Eduardo Gómez-Sánchez, Yannis A Dimitriadis
1Departamento de Teoría de la Señal y Comunicaciones e Ingeniería Telemática, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad de Valladolid, Camino del Cementerio S/N, 47011 Valladolid, Spain. emipar@tsc.uc3m.es
Summary
Distributed learning effectively reduces category proliferation in Fuzzy ARTMAP neural networks, but requires specific output class features for optimal classification accuracy. This approach was successfully adapted to FasArt systems.
Failed At:
2026-06-19T13:35:42.367597+00:00