NOTE ON THE INFORMATION-THEORETIC ASPECT OF FUZZY NEURAL TREE

Autor:	CİFTCİOGLU, Ozer, BİTTERMANN, Michael S.
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	Engineering Electrical and Electronic Mühendislik Elektrik ve Elektronik Fuzzy logic neural tree knowledge modeling evolutionary computation likelihood probability possibility
Zdroj:	Volume: 1, Issue: 1 37-40 The Journal of Cognitive Systems
ISSN:	2548-0650
Popis:	A note on the information-theoretic aspect of the fuzzy neural tree (FNT) is presented. The detailed description of the FNT is given in an earlier work, where its information-theoretic aspect is heuristically mentioned but not elaborated because of some space limitation. The present note is to highlight this aspect of the tree as this is important in working of the tree with its knowledge-driven structure.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=tubitakulakb::785e74097d8adbc594585a126fc853fd https://dergipark.org.tr/tr/pub/jcs/issue/26808/872637 Zobrazit plný text záznamu