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[42152] Artykuł:

Structured neuro-fuzzy classifier for medical decision support

Czasopismo: Proceedings of the European Congress on Intelligent Techniques and Soft Computing (EUFIT 99), Aachen, Niemcy   Strony: 8naCD-ROM
Opublikowano: 1999
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Procent
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Marian Bolesław Gorzałczany orcid logoWEAiIKatedra Elektroniki i Systemów Inteligentnych *****50.00  
Piotr Grądzki50.00  

Grupa MNiSW:  Recenzowany referat w materiałach konferencyjnych w języku angielskim
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Abstract:

The aim of this paper is to present and compare four different neuro-fuzzy approaches to the construction of fuzzy rule-based models for dynamic processes. These approaches have been applied to modelling of an industrial gas furnace system (Box-Jenkins benchmark). The following neuro-fuzzy systems have been considered: nfMod -- the system proposed in this paper, the well-known ANFIS and NFIDENT systems, and an alternative neurofuzzy system reported in literature. The main criterion of comparison of all systems is their performance (the accuracy of modelling) versus interpretability (the transparency and the ability to explain generated decisions; it also includes an analysis and pruning of obtained fuzzy-rule bases).