Inverted hierarchical neuro-fuzzy BSP system: a novel neuro-fuzzy model for pattern classification and rule extraction in databases

This paper introduces the Inverted Hierarchical Neuro-Fuzzy BSP System (HNFB/sup -1/), a new neuro-fuzzy model that has been specifically created for record classification and rule extraction in databases. The HNFB/sup -1/ is based on the Hierarchical Neuro-Fuzzy Binary Space Partitioning Model (HNF...

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Veröffentlicht in:	IEEE transactions on human-machine systems 2006-03, Vol.36 (2), p.236-248
Hauptverfasser:	Goncalves, L.B., Vellasco, M.M.B.R., Pacheco, M.A.C., Flavio Joaquim de Souza
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Artificial neural networks Binary space partitioning (BSP) Cardiac disease Classification Classification algorithms Computer science control theory systems Data mining Diabetes Exact sciences and technology Extraction Fuzzy Fuzzy logic Fuzzy neural networks Fuzzy set theory Fuzzy sets Iris Liver Mathematical models Neural networks neuro-fuzzy systems Pattern classification Pattern recognition. Digital image processing. Computational geometry rule extraction Studies
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