Prediction of the Compressive Strength of Alkali-Activated Geopolymeric Concrete Binders by Neuro-Fuzzy Modeling: A Case Studys

AuthID
 P-00G-PPY
4
Author(s)
Nazari, A
·
Cevik, A
·
Document Type
Book Chapter
Year published
2014
Published
in Handbook of Alkali-Activated Cements, Mortars and Concretes
Pages: 217-233
Indexing
Scopus®
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Publication Identifiers
Scopus: 2-s2.0-84942936231
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