A fuzzy neural tree based on likelihood
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A novel type of fuzzy neural system is presented. It involves the neural tree concept and is termed as fuzzy neural tree (FNT). Each tree node uses a Gaussian as a fuzzy membership function so that the approach uniquely is in align with both the probabilistic and possibilistic interpretations of fuzzy membership, thereby presenting a novel type of network. The tree is structured by the domain knowledge and parameterized by likelihood. The FNT is described in detail pointing out its various potential utilizations, in which complex modeling and multi-objective optimization are demanded. One of such utilizations concerns design. This is exemplified and its effectiveness is demonstrated by computer experiments in the realm of Architectural design. © 2015 IEEE.
Açıklama
IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015 -- 2 August 2015 through 5 August 2015 -- -- 118450
Anahtar Kelimeler
evolutionary computation, Fuzzy logic, knowledge modeling, likelihood, neural tree, probability possibility
Kaynak
IEEE International Conference on Fuzzy Systems
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
2015-November
Sayı
Künye
Çiftçioğlu, Ö. ve Bittermann, M. S. (2015). A fuzzy neural tree based on likelihood. IEEE International Conference on Fuzzy Systems.
